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Artificial Intelligence: Machine Learning

Artificial Intelligence: Machine Learning

Machine Learning is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Andrew Ng, Assistant Professor of Stanford University's Computer Science Department. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to... Show More
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Dev Shah
Dev Shah (Student)
28 weeks ago
How to apply and what is the fee structure for this course?
Marcelo Mamud
Marcelo Mamud (Faculty)
9 years ago
It is a very rich material which covers the main concepts about Learning Machine. I wouldn't suggest this material in a self study context because, in my opinion, a good mathematical background is needed.