This course (CS229) -- taught by Professor Andrew Ng -- 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.
About Stanford University
Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions.
The University was founded in 1891 by Leland and Jane Stanford to "promote the public welfare by exercising an influence on behalf of humanity and civilization." More than a century later, Stanford remains dedicated to finding solutions to the great challenges of the day and to preparing our students for leadership in today's complex world.
The Stanford Channel on YouTube is an archive of videos from schools, departments, and programs across the university highlighting faculty lectures, events, news, and more.
Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions.
The University was founded in 1891 by Leland and Jane Stanford to "pr...