Online Lectures (updated 2012)

Added 2012:


Stanford EE263: Introduction to Linear Dynamical Systems
Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems.
http://www.stanford.edu/~boyd/ee263/index.html
http://www.youtube.com/playlist?list=PL06960BA52D0DB32B


MIT - 18.085 Computational Science and Engineering I
Review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
http://ocw.mit.edu/courses/mathematics/18-085-computational-science-and-engineering-i-fall-2008/index.htm


Statistical Aspects of Data Mining (Stats 202 - Google/Stanford)
Topics: decision trees, neural networks, association rules, clustering, case based methods, and data visualization.
http://www.youtube.com/playlist?list=PLA40054B49BA80084&feature=view_all
http://www.stats202.com/original_index.html


Added 2011:

Awesome, free, online courses from Stanford offered Oct 2011:

CS229, Machine Learning Course
Broad introduction to machine learning, datamining, and statistical pattern recognition
http://www.ml-class.org/
http://cs229.stanford.edu/
http://www.reddit.com/r/mlclass/

CS221, Artificial Intelligence Course
Covering basic elements of AI, such as knowledge representation, inference, machine learning, planning and game playing, information retrieval, and computer vision and robotics.
http://www.ai-class.com/
http://robots.stanford.edu/cs221/
http://www.reddit.com/r/aiclass

Unsupervised Feature Learning and Deep Learning
Video lectures by Andrew Ng (Stanford, also teaches CS229)
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl

Added 2010:

Stanford - Programming Paradigms (CS107)
Online lectures	http://www.youtube.com/view_play_list?p=9D558D49CA734A02
Course notes	https://courseware.stanford.edu/info/course/CS107
Lecture summary	https://courseware.stanford.edu/pg/courses/lectures/4838
Stanford - Machine Learning (CS229)
Online lectures	http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599
Course notes	http://www.stanford.edu/class/cs229/
Lecture summary	http://www.stanford.edu/class/cs229/schedule.html
Course Materials	http://www.stanford.edu/class/cs229/materials.html
Notes	http://amitksaha.wordpress.com/ (229 search)
MIT - Introduction to Algorithms (6.046J / 18.410J)
Online lectures	http://www.youtube.com/view_play_list?p=8B24C31197EC371C
Course notes	http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-046JFall-2005/CourseHome/index.htm
Lecture summary	http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-046JFall-2005/VideoLectures/
3rd party notes (very good)	http://www.catonmat.net/blog/category/introduction-to-algorithms/
Stanford - Introduction to Robotics (CS223A)
Online lectures	http://www.youtube.com/view_play_list?p=65CC0384A1798ADF
Course notes 1	http://www.stanford.edu/class/cs223a/
Course notes 2	http://see.stanford.edu/see/courseInfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743
Lecture summary	http://see.stanford.edu/see/lecturelist.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743
MIT - Linear Algebra (18.06)
Online lectures	http://www.youtube.com/view_play_list?p=E7DDD91010BC51F8
Course notes	http://web.mit.edu/18.06/www/
Online lectures download	http://ocw.mit.edu/OcwWeb/Mathematics/18-06Spring-2005/VideoLectures/index.htm
Peteris Krumins' notes	http://www.catonmat.net/?s=MIT+Linear+Algebra&submit=Search
Stanford - Human-Computer Interaction Seminars (CS547)
Course notes	http://hci.stanford.edu/courses/cs547/
Online lectures 2006/7	http://www.youtube.com/view_play_list?p=32A089D3E2DFB65D
Online lectures 2007/8	http://www.youtube.com/view_play_list?p=27C635EE182143CE
Online lectures 2008/9	http://www.youtube.com/view_play_list?p=CFE6199B78198411
Online lectures 2009/10	http://www.youtube.com/view_play_list?p=F4A01617834A0FB6

Other interesting lecture series:

Berkeley Computer Science 61A, 001 - Spring 2008:

• http://www.youtube.com/view_play_list?p=6879A8466C44A5D5
• http://wla.berkeley.edu/~cs61a/fa10/
• Covers different types of programming, including functional, OO, mapreduce etc.

Stanford Data Mining CS246/CS341 (formerly CS345A)

• Winter 2011 Homepage
• Winter 2010 Handouts
• Winter 2009 Handouts
• Sadly no youtube lectures :( But Anand Rajaraman and Jeffrey D. Ullman have released a book based on the course: Mining of Massive Datasets.