網(wǎng)絡(luò)公開課資源

1、網(wǎng)絡(luò)公開課資源網(wǎng)絡(luò)公開課資源關(guān)注 CS/AI/Math當當當當 請看這個網(wǎng)址 - / - 它是一個列表，列出幾大在線課程網(wǎng)站（有英文字幕和習題就是好啊 ）的課程表(比網(wǎng)易云課堂更原汁原味哦，現(xiàn)在也可以看課程圖譜，學累了可以輕松幾分鐘 ，還有浙大的計算機中的數(shù)學 )Udacity （也是 Stanford 教授參與創(chuàng)建的）-Caltech(California Institute of Technology) -course, April 3rd till May 31st 2012這些都是新課，在網(wǎng)上正在上的課。之前的課很厲害， CS 在這里 )是已經(jīng)結(jié)束了的課，有MIT OCW( 數(shù)學Mul

2、timediacontent標志的課值得一聽。這些新課好多都是CS的 :最近剛結(jié)束的有 Introduction to AI , Introduction to Databases(SQL,OLAP,NoSQL) and Introduction to Machine Learning正 on live 的有 Probabilistic Graphical Models, NaturalLanguage Processing, Design and Analysis of Algorithms I,CS 101: Building a Search Engine即將開始的有 Introduct

3、ion to Machine Learning, Learning from Data ( Introductory Machine Learning course),Computer Vision, CS212 - The Design of Computer Programs,Stanford engineering everywhere -翻譯artificial intelligence|machine learning-4052-937d-cb017338d7b1 網(wǎng)易翻譯版Some mathematical details and derivations have been omi

4、tted inThe problem sets are also mathematical and challenging.Harvard university extension school -ncesets-probabilityMachine Learning-Spring 2011Carnegie Mellon University ，大名鼎鼎的Tom MitchellIts , focusing on theoretical aspects of machine learning, I think it may consider as a advanced theory found

5、ation to machine learning course.Google Code UniversityPython Course(有個 Python 學習社區(qū) )C+ CourseCurriculum SearchTop Viewed CoursesGoogles Python ClassIntroduction to Distributed System Design Introduction to Parallel Programming and MapReduce想去 Google 的絕對不能錯過 （原諒我用這么大大的logo ）Programming LanguagesGoog

6、les Python Class | Understanding Python 國內(nèi)下載地址翻譯Googles C+ ClassAlgorithmsAlgorithms -PrincetonAnalysis of Algorithms -StandfordThree Beautiful QuicksortsDistributed Systems Introduction to Distributed System Design Introduction to Parallel Programming and MapReduceTools 101Introduction to Databases

7、 and MySQLLinuxBasic Linux CommandsLinux Ownership and PermissionsText Processing with GrepGreppin in the GNU World Lab Some of the advanced machine learning related presentations can be found at /Top/Computer_Science/Machine_Learni ng/Machine Learning Summer School 2009, organized by Cambridge, I f

8、ound a lot of great ML scientists here given lectures, such as Christopher Bishop, David Blei, and Michael I.Jordan. Unfortunately my network is a little bad and cannotdownload from videolectures/mlss09uk_cambridgeLectures from Machine Learning Summer School 2011 - Bordeaux /mlss2011_bordeaux/ p.s.

9、Checked the archives, there are some resources from already, but it looks mlss2011_bordeaux hasnt been posted yet.更多的好網(wǎng)站可以看 quora 上的這個各抒己見其他一些課程合輯：for those interested in applications of machine learning totrading! Mostly practical examples for the laymen( 非專業(yè)人員 ), pretty well explained.Some other basic course materialsThese contains statistical Data mining tutorials from AndrewMoore Another tutorialNotations are different, might have to map it properly.一些數(shù)學：MatrixAnother good resource is Gil Strangs excellent MIT LinearAlgebra courseing