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
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. 
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. 
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. 
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. 
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.
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.
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. 
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. 
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.
beautiful song & pictures.
May 7, 2008 lecture by Steve Yegge for the Stanford University Computer Systems Colloquium (EE380).
another videos show u how to grow weed and make hashish
PROJECT HOME 2010
another videos show u how to grow weed and make hashish
This is the first slideshow made by my, I hope you’ll like it 
Researchers demonstrate a new solar cell technology based entirely on powdered donuts and passion tea.
April 9, 2008 lecture by Randy Breen for the Stanford University Computer Systems Colloquium (EE380).
http://www.ted.com Historian George Dyson tells stories from the birth of the modern computer — from its 16th-century origins to the hilarious notebooks of some early computer engineers.
www.tstc.edu
HELL HARD TO DO BUT WORTH THE WAIT….WATCH IT LEVITATE BY ITSELF!!!!!