Machine Learning (Stanford) 1
First part from an interesting Machine Learning course from Stanford University.
Lecture Description:
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.
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.
One Response to “Machine Learning (Stanford) 1”
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December 2nd, 2008 at 6:50 pm
foarte fain cursul. stiu ca am incercat sa invat si eu din el, si chiar am inteles multe lucruri.
pe youtube.com/iit mai sunt unele cursuri oarecum legate de machine learning. sunt cursurile lui dasgupta si mai e unul de intelligent systems and control.