http://videolectures.net，例如輸入Zoubin
Coursera
Machine learninghttps://www.coursera.org/learn/machine-learning/ I. Introduction (Week 1): watch more than twice (能閉目聽懂，絕不再看)
II. Linear Regression with One Variable (Week 1):已看一次，內(nèi)容很容易，都已理解
III. Linear Algebra Review (Week 1, Optional):絕不看，都是基本內(nèi)容。20160711看兩次Lecture14 Dimensionality Reduction (Week 8)的ppt, understand completely,故視頻暫不看。
IV. Linear Regression with Multiple Variables (Week 2)和Lecture6 Logistic Regression (Week 3), Lecture7 Regularization (Week 3), Lecture8 Neural Networks Representation (Week 4), Lecture9 Neural Networks Learning (Week 5),
Lecture10 Advice for Applying Machine Learning (Week 6), Lecture11 Machine Learning System Design (Week 6), Lecture12 Support Vector Machines (Week 7), Lecture17 Large Scale Machine Learning (Week 10)已看兩次，內(nèi)容很容易，都已理解，絕不再看。Lecture12在20160711看完
Lecture5 Octave Tutorial暫不看(百度百科：Octave是一種高級語言，主要設(shè)計(jì)用來進(jìn)行數(shù)值計(jì)算，它是MathWorks出品的Matlab商業(yè)軟件的一個(gè)強(qiáng)有力的競爭產(chǎn)品。)
20150814將Lecture7 Regularization (Week 3)之前都已經(jīng)復(fù)習(xí)兩次，并且整理出復(fù)習(xí)提綱。20150830和20150904將Lecture 10分別復(fù)習(xí)一次，絕不再看。20150904和20150912將Lecture 11和Lecture 17分別復(fù)習(xí)一次，絕不再看。
下面看Lecture13 Clustering (Week 8)
，如果課件全懂，絕不看;一定得先看以前的模式筆記,Zhihua教材, Ming Zhu教材和筆記, Jian Pei筆記。
Lecture15
Anomaly Detection，Lecture16
Recommender Systems和Lecture18即是擴(kuò)充知識面，又是練英語
學(xué)法：先看無字幕版，再看有字幕版，每個(gè)最少最少看兩篇，直至閉目聽懂。 一定認(rèn)真聽記筆記，很多課程都僅聽一次
Valse QQ群：張興國T-秋田大(582968216) 2017/8/31 6:39:18
吳恩達(dá)在
http://coursera.org/
上的《神經(jīng)網(wǎng)絡(luò)和深度學(xué)習(xí)》這門課在網(wǎng)易云課堂上可以免費(fèi)看了，還有中文字幕，感興趣的老師和同學(xué)可以去看看
應(yīng)該是這個(gè)https://www.coursera.org/learn/neural-networks-deep-learning#
https://mooc.study.163.com/smartSpec/detail/1001319001.htm/?utm_source=weibo.com&utm_medium=timeline&utm_campaign=deepLearning&utm_content=wnd20170831
韓家煒教授數(shù)據(jù)挖掘龍星課程視頻
http://www.youku.com/playlist_show/id_1903290.html 韓家煒教授Pattern Discovery in Data Mining
https://www.coursera.org/course/patterndiscovery Si Liu老師在VALSE20150813-Panel推薦的Boyd的Convex Optimization課程
http://www.youtube.com/watch?v=McLq1hEq3UY;
http://stanford.edu/~boyd/cvxbook/。一個(gè)是視頻，一個(gè)是video
Mingming Chen(Nankai) recomm
end a course in Valse QQ群：牛津大學(xué)機(jī)器學(xué)習(xí)課程（PPT，講課視頻，作業(yè)，代碼等）：
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Fei-Fei Li: How we're teaching computers to understand pictures
http://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures#
[轉(zhuǎn)自靜.沙龍]斯坦福人工智能實(shí)驗(yàn)室主任、計(jì)算機(jī)視覺實(shí)驗(yàn)室主任Fei-Fei Li教授本月的計(jì)算機(jī)視覺TED Talk: 
http://t.cn/RAwE22v 不錯(cuò)的科普教材。
美國大學(xué)線上課件大全: http://mp.weixin.qq.com/s?__biz=MzA5NzcxMzc4OQ==&mid=214275160&idx=2&sn=6e1377d47db154eb7507c6eac6f4ad26&scene=1&from=groupmessage&isappinstalled=0#rd
What we’re learning from online education: https://www.ted.com/talks/daphne_koller_what_we_re_learning_from_online_education/transcript
English teacher Tarey of Umich recommends "2016 University of Waterloo 3MT first prize winner: Gah-Jone Won". MT is short for minutes thesis. If you search "Gah-Jone Won" on youtube, you will find it.很好的科普
徐亦達(dá)老師機(jī)器學(xué)習(xí)視頻網(wǎng)站
http://www.valser.org/thread-725-1-1.html http://www-staff.it.uts.edu.au/~ydxu/statistics.htm Valse qq群有人說：
徐老師 講的很仔細(xì)
徐亦達(dá)老師20180407在微信群發(fā):
大家好，最近把我的機(jī)器學(xué)習(xí)課程講義,代碼，視頻鏈接都移植到了 github 上啦 https://github.com/roboticcam/machine-learning-notes/blob/master/README.md 我以后一定每過兩天就更新一下
徐亦達(dá)老師20180513在微信群發(fā):
大家好，為了準(zhǔn)備7月在北航上32課時(shí)300人的機(jī)器學(xué)習(xí)課，我最近一直在努力更新課件。上個(gè)星期加了一個(gè)word representation and softmax, 講了一些自然語言處理的數(shù)學(xué)問題，包括 word2vec 優(yōu)化, noise contrastive estimation, negative sampling, Gumbel max trick 等。還在努力完善中
https://github.com/roboticcam/machine-learning-notes/blob/master/word_vector.pdf
謝謝大家。這也是我第一次寫NLP 課件。[Shy][Shy]我們做了一些的nlp 工業(yè)項(xiàng)目。我打算趁去北航的機(jī)會(huì)。花點(diǎn)時(shí)間整理一下
Terry Tang: https://www.youtube.com/watch?v=SK8FRKBb2FI
徐亦達(dá)T悉尼科大<xuyida@hotmail.com> 2018/5/20 8:26:58 (Valse qq群)
大家好
整整兩年半沒有發(fā)新的機(jī)器學(xué)習(xí)視頻啦。今天終于痛下決心
從此開始堅(jiān)持每星期的視頻和講義的更新。優(yōu)酷地址
http://i.youku.com/u/UMzIzNDgxNTg5Ng YouTube地址
https://www.youtube.com/channel/UConITmGn5PFr0hxTI2tWD4Q 講義網(wǎng)址
https://github.com/roboticcam/machine-learning-notes/blob/master/README.md
張志華老師：
機(jī)器學(xué)習(xí)導(dǎo)論 http://ocw.sjtu.edu.cn/G2S/OCW/cn/CourseDetails.htm?Id=397
統(tǒng)計(jì)機(jī)器學(xué)習(xí)http://ocw.sjtu.edu.cn/G2S/OCW/cn/CourseDetails.htm?Id=398
2017年02月17日郵件:
https://www.ini.rub.de/PEOPLE/wiskott/Teaching/Material/index.html