作者MLLAB (机器学习实验室)
看板deeplearning
标题[情报] ML resources
时间Sun Mar 4 16:40:39 2018
我看到板主希望有人来发个清单,
於是我整理了一下手边自己看过的或朋友推荐过的资源,
主要是一些ML相关的线上课程跟网站,
抛砖引玉,给需要的人参考,希望对大家有帮助。
台大资工林轩田老师
机器学习基石
机器学习技法
https://www.csie.ntu.edu.tw/~htlin/mooc/
台大电机李宏毅老师
machine learning (ML)
machine learning and having it deep and structured (MLDS)
http://speech.ee.ntu.edu.tw/~tlkagk/courses.html
台大电机李宏毅老师&台大资工陈縕侬老师
applied deep learning x machine learning and having it deep and structured (ADLxMLDS)
https://www.csie.ntu.edu.tw/~yvchen/f106-adl/syllabus.html
Stanford Andrew Ng
Machine Learning
https://www.coursera.org/learn/machine-learning
University of Oxford
Machine Learning
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
David Silver
RL course
https://goo.gl/BGwF63
Stanford
CNN for Visual Recognition
http://cs231n.stanford.edu/syllabus.html
Ian Goodfellow
Deep Learning
https://www.youtube.com/playlist?list=PLkISDyMVw2Htm42P0eTVEKyz7scxZ4V-O
UIUC Dan Roth
Machine Learning
https://goo.gl/124noX
交大应数李育杰老师
Machine Learning
http://ocw.nctu.edu.tw/course_detail-v.php?bgid=1&gid=1&nid=563
资料科学相关的课程
从 微积分、线代、机率、统计 到 机器学习 都有
https://goo.gl/mKlq8r
CS相关课程
https://webptt.com/cn.aspx?n=bbs/studyabroad/M.1511862466.A.D02.html
AI、ML相关conference的deadline
https://aideadlin.es/
Paper
https://openreview.net/
https://arxiv.org/list/stat.ML/recent
https://www.aaai.org/Library/conferences-library.php
CV相关paper:
http://openaccess.thecvf.com/menu.py
GAN相关的paper:
https://deephunt.in/the-gan-zoo-79597dc8c347
tensorflow相关资源
tutorials
https://www.tensorflow.org/tutorials/
code范例
https://github.com/aymericdamien/TensorFlow-Examples
论坛
https://www.reddit.com/r/MachineLearning/
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※ 文章网址: https://webptt.com/cn.aspx?n=bbs/deeplearning/M.1520152858.A.59E.html
※ 编辑: MLLAB (140.113.250.42), 03/04/2018 16:45:33
1F:推 Cprogramming: 感谢分享 03/04 17:14
2F:推 sating00: 推 03/04 17:15
3F:推 GTX9487: @@ 哇呜 03/04 17:49
4F:推 aaaba: 推 03/04 18:17
5F:推 nana6620: 推 03/04 18:18
7F:→ jghs1328: o/ml/index.html 03/04 18:23
8F:→ hl4: deeplearning.ai fasi.ai 03/04 18:33
9F:→ a1234567289: 推Andrew Ng 03/04 19:41
10F:→ a1234567289: 他之後还有开一堂Deep learning by deeplearning.ai 03/04 19:42
11F:推 ssd860505da: 推大金 03/04 21:43
12F:推 was11: 推 03/04 23:03
13F:推 weber1993: 推ㄊㄨㄟ 03/05 00:26
14F:推 raychiu1226: 推推推 03/05 01:50
15F:推 tay2510: 用心整理推 03/05 05:29
16F:→ KamiSP: Stanford 应该还有一门 cs224d 03/05 07:13
17F:推 ZhouGongJin: 感谢分享 03/05 07:56
18F:推 breakice: 感谢分享 03/05 08:52
19F:→ HYDE1986: 推 03/05 14:42
20F:→ RumiManiac: 推 03/05 17:13
21F:推 osme2000xp: 推 03/06 00:18
22F:推 stucode: 推 03/06 02:31
23F:→ ECZEMA: 有够全 03/06 10:11
24F:推 GGrunrunder: 推 03/06 10:54
25F:推 sleepwinter: 推 03/06 14:26
26F:→ laugh2star: 推! 03/06 23:11
27F:推 l4990422: MIT 6.S191: Introduction to Deep Learning 03/07 14:09
28F:推 chungyiju: 感谢热心分享~ 03/07 22:59
29F:推 Toanyone: 太感谢了!! 03/13 08:25
30F:推 s1681688: 推 03/13 12:53
31F:推 simpleplanya: 感谢分享 03/13 13:13
32F:推 XtremeYoshi: 推 03/13 13:30
33F:推 ballislife: Andrew Ng 还有一堂cs229也很不错 03/14 09:32
34F:推 howayi: Hinton NNML & STAT385 03/17 01:27
35F:推 CJhang: 推 03/18 03:00
37F:推 Jeffrey11061: Push 03/20 01:51
38F:推 KYO5: 推 03/20 19:09
39F:→ b24333666: 推 03/21 05:45
40F:推 KSWang: 推田神 03/22 20:05