網(wǎng)絡(luò)公開課資源 ——關(guān)注CS/AI/Math當(dāng)當(dāng)當(dāng)當(dāng)~請看這個網(wǎng)址 - http://www./ - 它是一個列表,，列出幾大在線課程網(wǎng)站（有英文字幕和習(xí)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(xué)累了可以輕松幾分鐘 ，還有浙大的計算機(jī)中的數(shù)學(xué))
這些都是新課,，在網(wǎng)上正在上的課,。之前的MIT OCW(數(shù)學(xué)課很厲害，CS在這里)是已經(jīng)結(jié)束了的課,，有Multimedia content標(biāo)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, Natural Language Processing, Design and Analysis of Algorithms I,CS 101: Building a Search Engine 即將開始的有Introduction to Machine Learning, Learning from Data ( Introductory Machine Learning course),Computer Vision, CS212 - The Design of Computer Programs,
Stanford engineering everywhere - http://see./see/courses.aspx
Some mathematical details and derivations have been omitted in this course, since this is CS229a - Applied Machine Learning at Stanford. The course with complete Mathematical Depth ( but lesser emphasis on practical application ) is CS229 - Machine Learning. In case you are interested in more algorithms, reinforcement learning and the mathematical derivation for some of the methods, you might find it interesting and useful to take a look at the regular CS229 notes.
The problem sets are also mathematical and challenging.
Standford wiki for unsupervised learning
Harvard university extension school - http://www.extension./courses/subject/computer-science http://www.extension./open-learning-initiative/math-sets-probability Machine Learning -Spring 2011 Carnegie Mellon University，大名鼎鼎的 Tom Mitchell |
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