https://wiki.cs.hse.ru/index.php?action=history&feed=atom&title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_%28Data_Culture%29 2026-09-23T07:35:53Z История изменений этой страницы в вики MediaWiki 1.43.9 https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33725&oldid=prev 2019-05-29T11:54:08Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 11:54, 29 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l59">Строка 59:</td> <td colspan="2" class="diff-lineno">Строка 59:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || [https://docs.google.com/presentation/d/1MtMYyb65Mg8D85paH-8Z8GDy951LMvV5Uol4pjXArdo/edit?usp=sharing Лекция 3] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Семинар 4 данные] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/4_Seminar.ipynb Семинар 4 Блокнот] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ3 Визуализации]  || &lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || [https://docs.google.com/presentation/d/1MtMYyb65Mg8D85paH-8Z8GDy951LMvV5Uol4pjXArdo/edit?usp=sharing Лекция 3] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Семинар 4 данные] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/4_Seminar.ipynb Семинар 4 Блокнот] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ3 Визуализации]  || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip Семинар 5 данные] ||&lt;br /&gt;   </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip Семинар 5 данные<ins style="font-weight: bold; text-decoration: none;">] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Homework/4_HW_Survey_Analysis.ipynb ДЗ4 Анализ Собранных данных</ins>] ||&lt;br /&gt;   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33718&oldid=prev 2019-05-28T20:21:12Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 20:21, 28 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l57">Строка 57:</td> <td colspan="2" class="diff-lineno">Строка 57:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  ||Big Data и социальные науки. Где брать цифровые данные? Этика, анонимность и данные (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3 Блокнот] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  ||Big Data и социальные науки. Где брать цифровые данные? Этика, анонимность и данные (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3 Блокнот] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || [https://docs.google.com/presentation/d/1MtMYyb65Mg8D85paH-8Z8GDy951LMvV5Uol4pjXArdo/edit?usp=sharing Лекция 3] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Семинар 4 данные] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/4_Seminar.ipynb Семинар 4 Блокнот  || &lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || [https://docs.google.com/presentation/d/1MtMYyb65Mg8D85paH-8Z8GDy951LMvV5Uol4pjXArdo/edit?usp=sharing Лекция 3] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Семинар 4 данные] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/4_Seminar.ipynb Семинар 4 Блокнот<ins style="font-weight: bold; text-decoration: none;">] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ3 Визуализации] </ins> || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip Семинар 5 данные] ||&lt;br /&gt;   </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip Семинар 5 данные] ||&lt;br /&gt;   </div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33717&oldid=prev 2019-05-28T20:19:58Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 20:19, 28 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l55">Строка 55:</td> <td colspan="2" class="diff-lineno">Строка 55:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  ||Big Data и социальные науки. Где брать цифровые данные? Этика, анонимность и данные (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  ||Big Data и социальные науки. Где брать цифровые данные? Этика, анонимность и данные (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3 <ins style="font-weight: bold; text-decoration: none;">Блокнот</ins>] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip <del style="font-weight: bold; text-decoration: none;">Данные для семинара </del>4]  ||&lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || <ins style="font-weight: bold; text-decoration: none;">[https://docs.google.com/presentation/d/1MtMYyb65Mg8D85paH-8Z8GDy951LMvV5Uol4pjXArdo/edit?usp=sharing Лекция 3] </ins>|| [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip <ins style="font-weight: bold; text-decoration: none;">Семинар </ins>4 <ins style="font-weight: bold; text-decoration: none;">данные</ins>] <ins style="font-weight: bold; text-decoration: none;">[https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/4_Seminar.ipynb Семинар 4 Блокнот </ins> || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip <del style="font-weight: bold; text-decoration: none;">Seminar </del>5 <del style="font-weight: bold; text-decoration: none;">data</del>] ||&lt;br /&gt;   </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip <ins style="font-weight: bold; text-decoration: none;">Семинар </ins>5 <ins style="font-weight: bold; text-decoration: none;">данные</ins>] ||&lt;br /&gt;   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33709&oldid=prev 2019-05-28T13:41:01Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 13:41, 28 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l59">Строка 59:</td> <td colspan="2" class="diff-lineno">Строка 59:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение. Методы: kNN и решающие деревья (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || <del style="font-weight: bold; text-decoration: none;"> </del>||&lt;br /&gt;   </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA || <ins style="font-weight: bold; text-decoration: none;">[https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/5_Seminar.zip Seminar 5 data] </ins>||&lt;br /&gt;   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33662&oldid=prev 2019-05-22T11:44:09Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 11:44, 22 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l55">Строка 55:</td> <td colspan="2" class="diff-lineno">Строка 55:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  || <del style="font-weight: bold; text-decoration: none;">Фантастические данные </del>и <del style="font-weight: bold; text-decoration: none;">где их искать</del>. <del style="font-weight: bold; text-decoration: none;">Этические </del>и <del style="font-weight: bold; text-decoration: none;">правовые проблемы работы с данными </del>(лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  ||<ins style="font-weight: bold; text-decoration: none;">Big Data </ins>и <ins style="font-weight: bold; text-decoration: none;">социальные науки</ins>. <ins style="font-weight: bold; text-decoration: none;">Где брать цифровые данные? Этика, анонимность </ins>и <ins style="font-weight: bold; text-decoration: none;">данные </ins>(лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными] || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение <del style="font-weight: bold; text-decoration: none;">к методам </del>и <del style="font-weight: bold; text-decoration: none;">кейсам </del>(лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение<ins style="font-weight: bold; text-decoration: none;">. Методы: kNN </ins>и <ins style="font-weight: bold; text-decoration: none;">решающие деревья </ins>(лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA ||  ||&lt;br /&gt;   </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || Разбираем кейс ML: предсказание с помощью решающих деревьев  || NA ||  ||&lt;br /&gt;   </div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33660&oldid=prev 2019-05-22T11:34:30Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 11:34, 22 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l55">Строка 55:</td> <td colspan="2" class="diff-lineno">Строка 55:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || Основы работы с Jupyter Notebook и Pandas. Работа с табличными данными, фильтрация и агрегация  || NA  || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/2_3_Seminar.zip Titanic.csv] [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/2_Seminar.ipynb Семинар 2 Блокнот] || NA  || &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  || Фантастические данные и где их искать. Этические и правовые проблемы работы с данными (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными || &lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  || Фантастические данные и где их искать. Этические и правовые проблемы работы с данными (лекция). Дескриптивные статистики и работа с пропущенными данными (семинар) || [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Files/3_Seminar.ipynb Семинар 3] || [https://github.com/rogovich/2019_POS_Sociology/tree/master/Homework ДЗ2 Работа с табличными данными<ins style="font-weight: bold; text-decoration: none;">] </ins>|| &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение к методам и кейсам (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || Введение в машинное обучение: первое приближение к методам и кейсам (лекция). Визуализации в Python. Библиотека matploltlib (семинар). || || [https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4]  ||&lt;br /&gt;  |  </div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33659&oldid=prev 2019-05-22T11:31:12Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 11:31, 22 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l51">Строка 51:</td> <td colspan="2" class="diff-lineno">Строка 51:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! № !! Неделя !! Тема !! Лекция !! Семинар !! Домашнее задание   </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>! № !! Неделя !! Тема !! Лекция !! Семинар !! Домашнее задание   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  1  || 15.04 - 21.04  || Введение в анализ данных и ML <del style="font-weight: bold; text-decoration: none;"> </del>|| [https://docs.google.com/presentation/d/1LaWeLxyyIJ6t3Ja5Jrm3_3yUOevsCtL8y-wtgUyiBjQ/edit?usp=sharing Лекция 1 Презентация]  || <del style="font-weight: bold; text-decoration: none;">NA </del>|| <del style="font-weight: bold; text-decoration: none;">NA  </del>&lt;br /&gt;   </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  1  || 15.04 - 21.04  || Введение в анализ данных и ML<ins style="font-weight: bold; text-decoration: none;">. Введение в постановку гипотез и поиск исследовательского вопроса </ins>|| [https://docs.google.com/presentation/d/1LaWeLxyyIJ6t3Ja5Jrm3_3yUOevsCtL8y-wtgUyiBjQ/edit?usp=sharing Лекция 1 Презентация]  || <ins style="font-weight: bold; text-decoration: none;">[https://docs.google.com/presentation/d/1EAVFuH3QNrmZzxaCmqrtO0hP-eUgVgjnv1WIQeVYUPA/edit?usp=sharing Семинар 1 Презентация]</ins>|| <ins style="font-weight: bold; text-decoration: none;">[https://docs.google.com/document/d/1r8sOP9c3p7buoSaocgb1xlsJ3fHSNhUS8cPy1mnU21w/edit# ДЗ_1 Опрос Дедлайны, документы, критерии] </ins>&lt;br /&gt;   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || <del style="font-weight: bold; text-decoration: none;">Введение в постановку гипотез </del>и <del style="font-weight: bold; text-decoration: none;">поиск исследовательского вопроса </del>|| NA  || [https://<del style="font-weight: bold; text-decoration: none;">docs.google</del>.com/<del style="font-weight: bold; text-decoration: none;">presentation</del>/<del style="font-weight: bold; text-decoration: none;">d</del>/<del style="font-weight: bold; text-decoration: none;">1EAVFuH3QNrmZzxaCmqrtO0hP-eUgVgjnv1WIQeVYUPA</del>/<del style="font-weight: bold; text-decoration: none;">edit?usp=sharing Семинар 1 Презентация</del>] <del style="font-weight: bold; text-decoration: none;">||&lt;br /&gt;  | </del>[https://<del style="font-weight: bold; text-decoration: none;">docs.google</del>.com/<del style="font-weight: bold; text-decoration: none;">document</del>/<del style="font-weight: bold; text-decoration: none;">d</del>/<del style="font-weight: bold; text-decoration: none;">1r8sOP9c3p7buoSaocgb1xlsJ3fHSNhUS8cPy1mnU21w</del>/<del style="font-weight: bold; text-decoration: none;">edit# ДЗ_1 Опрос Дедлайны, документы, критерии</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  2  || 22.04 - 28.04  || <ins style="font-weight: bold; text-decoration: none;">Основы работы с Jupyter Notebook </ins>и <ins style="font-weight: bold; text-decoration: none;">Pandas. Работа с табличными данными, фильтрация и агрегация  </ins>|| NA  || [https://<ins style="font-weight: bold; text-decoration: none;">github</ins>.com/<ins style="font-weight: bold; text-decoration: none;">rogovich/2019_POS_Sociology</ins>/<ins style="font-weight: bold; text-decoration: none;">blob</ins>/<ins style="font-weight: bold; text-decoration: none;">master</ins>/<ins style="font-weight: bold; text-decoration: none;">Data/2_3_Seminar.zip Titanic.csv</ins>] [https://<ins style="font-weight: bold; text-decoration: none;">github</ins>.com/<ins style="font-weight: bold; text-decoration: none;">rogovich</ins>/<ins style="font-weight: bold; text-decoration: none;">2019_POS_Sociology</ins>/<ins style="font-weight: bold; text-decoration: none;">blob</ins>/<ins style="font-weight: bold; text-decoration: none;">master/Files/2_Seminar.ipynb Семинар 2 Блокнот</ins>] <ins style="font-weight: bold; text-decoration: none;">|| NA  || &lt;br /&gt;  | </ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  || <del style="font-weight: bold; text-decoration: none;">Основы </del>работы с <del style="font-weight: bold; text-decoration: none;">Jupyter Notebook </del>и <del style="font-weight: bold; text-decoration: none;">Pandas. Работа </del>с <del style="font-weight: bold; text-decoration: none;">табличными </del>данными<del style="font-weight: bold; text-decoration: none;">, фильтрация и агрегация  </del>|| [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/<del style="font-weight: bold; text-decoration: none;">Data</del>/<del style="font-weight: bold; text-decoration: none;">titanic</del>.<del style="font-weight: bold; text-decoration: none;">csv Titanic.csv</del>][https://github.com/rogovich/2019_POS_Sociology/<del style="font-weight: bold; text-decoration: none;">blob</del>/master/<del style="font-weight: bold; text-decoration: none;">Files/2_Seminar.ipynb Семинар 2 Блокнот]  </del>|| &lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  3  || 13.05 - 19.05  || <ins style="font-weight: bold; text-decoration: none;">Фантастические данные и где их искать. Этические и правовые проблемы </ins>работы с <ins style="font-weight: bold; text-decoration: none;">данными (лекция). Дескриптивные статистики </ins>и <ins style="font-weight: bold; text-decoration: none;">работа </ins>с <ins style="font-weight: bold; text-decoration: none;">пропущенными </ins>данными <ins style="font-weight: bold; text-decoration: none;">(семинар) </ins>|| [https://docs.google.com/presentation/d/1zywiWRqB1lpUY1IX9QJ7d4zAn1nuuubN0Nq7zpTCNCE/edit?usp=sharing Лекция 2] || [https://github.com/rogovich/2019_POS_Sociology/blob/master/<ins style="font-weight: bold; text-decoration: none;">Files</ins>/<ins style="font-weight: bold; text-decoration: none;">3_Seminar</ins>.<ins style="font-weight: bold; text-decoration: none;">ipynb Семинар 3</ins>] <ins style="font-weight: bold; text-decoration: none;">|| </ins>[https://github.com/rogovich/2019_POS_Sociology/<ins style="font-weight: bold; text-decoration: none;">tree</ins>/master/<ins style="font-weight: bold; text-decoration: none;">Homework ДЗ2 Работа с табличными данными </ins>|| &lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || <del style="font-weight: bold; text-decoration: none;">  </del>|| <del style="font-weight: bold; text-decoration: none;"> </del>||  ||&lt;br /&gt;  |  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  4  || 20.05 - 26.05 || <ins style="font-weight: bold; text-decoration: none;">Введение в машинное обучение: первое приближение к методам и кейсам (лекция). Визуализации в Python. Библиотека matploltlib (семинар). </ins>|| || <ins style="font-weight: bold; text-decoration: none;">[https://github.com/rogovich/2019_POS_Sociology/blob/master/Data/4_Seminar.zip Данные для семинара 4] </ins> ||&lt;br /&gt;  |  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || <del style="font-weight: bold; text-decoration: none;">  </del>|| <del style="font-weight: bold; text-decoration: none;"> </del>||  ||&lt;br /&gt;   </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|  5  || 27.05 - 02.06  || <ins style="font-weight: bold; text-decoration: none;">Разбираем кейс ML: предсказание с помощью решающих деревьев  </ins>|| <ins style="font-weight: bold; text-decoration: none;">NA </ins>||  ||&lt;br /&gt;   </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33658&oldid=prev 2019-05-22T11:21:01Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 11:21, 22 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l27">Строка 27:</td> <td colspan="2" class="diff-lineno">Строка 27:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Ведомости===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Ведомости===</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ171]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ181'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[<del style="font-weight: bold; text-decoration: none;">БСЦ172</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[<ins style="font-weight: bold; text-decoration: none;">https://docs.google.com/spreadsheets/d/1fUGAPfiJ3qka1mE2VdtHuHwAonkeUPCIJn2ykxAsSEY/edit?usp=sharing 181 ДЗ1 Опрос</ins>]</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ173]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ182'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[<del style="font-weight: bold; text-decoration: none;">БСЦ174</del>]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[<ins style="font-weight: bold; text-decoration: none;">https://docs.google.com/spreadsheets/d/1BemCIb07WATm-Naf2t4vjvffBHCRvWUzsYn5kjooODw/edit?usp=sharing 182 ДЗ1 Опрос</ins>]</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ175]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ183'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ176]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ184'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ177]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ185'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[БСЦ178]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ186'''</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">'''БСЦ187'''</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Материалы курса ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Материалы курса ==</div></td></tr> </table>

Rogovich https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33627&oldid=prev 2019-05-20T19:11:41Z

<p><span class="autocomment">О курсе</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 19:11, 20 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">Строка 4:</td> <td colspan="2" class="diff-lineno">Строка 4:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Цель курса — знакомство слушателей с основами анализа данных.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Цель курса — знакомство слушателей с основами анализа данных.</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Оценка по курсу составляет 40% от <del style="font-weight: bold; text-decoration: none;">итоговой </del>оценки по Профориентационному семинару и равна  </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Оценка по курсу составляет 40% от <ins style="font-weight: bold; text-decoration: none;">накопленной </ins>оценки по Профориентационному семинару и равна  </div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Оср  = (Оср1 + Оср2 + Оср3 + Оср4)/4</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Оср  = (Оср1 + Оср2 + Оср3 + Оср4)/4 <ins style="font-weight: bold; text-decoration: none;">(среднее за четыре ДЗ).</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Преподаватели и контакты==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Преподаватели и контакты==</div></td></tr> </table>

Vsarkisyan https://wiki.cs.hse.ru/index.php?title=%D0%9F%D1%80%D0%BE%D1%84%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D0%BE%D0%BD%D0%BD%D1%8B%D0%B9_%D1%81%D0%B5%D0%BC%D0%B8%D0%BD%D0%B0%D1%80_(Data_Culture)&diff=33626&oldid=prev 2019-05-20T19:07:47Z

<p><span class="autocomment">О курсе</span></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="ru"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Предыдущая версия</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Версия от 19:07, 20 мая 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3">Строка 3:</td> <td colspan="2" class="diff-lineno">Строка 3:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Цель курса — знакомство слушателей с основами анализа данных.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Цель курса — знакомство слушателей с основами анализа данных.</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Оценка по курсу составляет 40% от итоговой оценки по Профориентационному семинару и равна </ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Оср  = (Оср1 + Оср2 + Оср3 + Оср4)/4</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Преподаватели и контакты==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Преподаватели и контакты==</div></td></tr> </table>

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