Learn About » SCIENCE

Lecture 12 | Machine Learning (Stanford)

admin — Thu, 06 May 2010 08:57:29 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses unsupervised learning in the context of clustering, Jensen’s inequality, mixture of Gaussians, and expectation-maximization.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:14:23

[youtube ZZGTuAkF-Hw]

Lecture 8 | Machine Learning (Stanford)

admin — Wed, 05 May 2010 11:17:22 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:17:19

[youtube bUv9bfMPMb4]

Lecture 7 | Machine Learning (Stanford)

admin — Mon, 03 May 2010 07:38:41 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on optimal margin classifiers, KKT conditions, and SUM duals.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:15:45

[youtube s8B4A5ubw6c]

Lecture 4 | Machine Learning (Stanford)

admin — Fri, 30 Apr 2010 04:53:36 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton’s method, exponential families, and generalized linear models and how they relate to machine learning.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:13:7

[youtube nLKOQfKLUks]

Lecture 3 | Machine Learning (Stanford)

admin — Tue, 27 Apr 2010 11:01:15 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng delves into locally weighted regression, probabilistic interpretation and logistic regression and how it relates to machine learning.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:13:14

[youtube HZ4cvaztQEs]

Lecture 1 | Programming Methodology (Stanford)

admin — Sun, 25 Apr 2010 12:10:35 +0000

Lecture by Professor Mehran Sahami for the Stanford Computer Science Department (CS106A). In the first lecture of the quarter, Professor Sahami provides an overview of the course and begins discussing computer programing.

CS106A is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=84A56BC7F4A1F852

CS106A at Stanford Unversity:
http://www.stanford.edu/class/cs106a/

Stanford Center for Professional Development:
http://scpd.stanford.edu/

Stanford University:
http://www.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 0:49:47

[youtube KkMDCCdjyW8]

The History of Household Technology

admin — Wed, 21 Apr 2010 13:14:57 +0000

The head of the Library’s Science Reference Division describes the evolution in the technology of washing machines, irons and stoves and its effect on the work of women in the home.

Duration : 0:16:59

[youtube DOo92Vu9PZo]

Lecture 1 | Machine Learning (Stanford)

admin — Sun, 18 Apr 2010 17:16:18 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:8:40

[youtube UzxYlbK2c7E]

Lecture 2 | Machine Learning (Stanford)

admin — Mon, 12 Apr 2010 15:38:25 +0000

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on linear regression, gradient descent, and normal equations and discusses how they relate to machine learning.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CCS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Duration : 1:16:16

[youtube 5u4G23_OohI]

computer technology podcast

admin — Tue, 06 Apr 2010 20:36:45 +0000

podcast speaking on how computer hardware and software make it easier for businesses and consumers to interact with one another on a daily basis. This project was done by Jonathan Matamoros for Computer Technology and Internet Online course. 2009.

Duration : 0:4:4

[youtube AZNLrdw6Eso]