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| 27 May 2016 |
|  wldhx changed the history visibility to "world_readable" from "shared". | 21:04:48 |
 @Sttrelllok:matrix.org | ^ добавил 2 интересные книжки про ml and natural language | 21:06:17 |
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| 28 May 2016 |
| @Sttrelllok:matrix.org | https://github.com/ujjwalkarn/Machine-Learning-Tutorials
Тонны контента по ML | 08:55:23 |
 Timopheym | https://github.com/josephmisiti/awesome-machine-learning есть и вот так. Другой вопрос, что информации СЛИШКОМ много. Нужен какой-то путь освоения. | 10:37:02 |
| wldhx | A small list of top resources and starting points
Ссылка второго порядка (на ссылки).
This will be most valuable to any data practitioner who has very little free time.
These resources cover data sets, algorithms, case studies, tutorials, cheat sheets, and material to learn the most popular data science languages: R and Python.
http://www.datasciencecentral.com/profiles/blogs/hitchhiker-s-guide-to-data-science-machine-learning-r-python | 10:37:17 |
| Timopheym | Например так https://github.com/hangtwenty/dive-into-machine-learning | 10:38:46 |
| wldhx | Точно. ^ - именно гайд, в то время, как ^^^ - набор cheatsheet'ов и мануалов. | 10:39:42 |
| Timopheym | Ну есть туториалы типа mooc и статьи - но общий обзор dive into - дает, не? | 10:41:54 |
|  DTyrsa(ADmitri) changed their display name from DTyrsa to DTyrsa(ADmitri). | 15:47:35 |
| wldhx | Timopheym: Ну да, я как раз про то, что dive into его даёт, в отличие от просто набора ссылочек (awesome ml или то, что я написал). | 15:50:52 |
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