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Machine Learning, Stanford University

4.9
99,566 ratings
24,894 reviews

About this Course

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....

Top reviews

By AQ

Mar 03, 2018

An amazing skills of teaching and very well structured course for people start to learn to the machine learning. The assignments are very good for understanding the practical side of machine learning.

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24,030 Reviews

By Nicolas Alzate Arias

Apr 18, 2019

muy buen curso

By siddhartha chaudhary

Apr 18, 2019

best course ever!

By Didier Seropian

Apr 18, 2019

Very interesting course and very well explained + very good lab! Great Job Andrew! Thanks a lot!

By Thomas BOYER CHAMMARD

Apr 18, 2019

Awesome.

Allowed me to get deep theoretical basics in Machine Learning and scored an awesome internship !! Thanks so much

By Roberto Orellana

Apr 18, 2019

Would really encourage usage of Matlab and not Octave since Octave tends to be really buggy. Otherwise, I owe Andrew a few beers. Nicely done.!

By LaxmiNarayana Chilakala

Apr 18, 2019

awesome course.

By Mahesh Alleswaram

Apr 18, 2019

It is a very good course. Each and every topic is deeply explained by Andrew Ng. Thank you very much Sir.

By Hüseyin Demirci

Apr 18, 2019

Perfect course and exercises for learning machine learning.

By Prajjwal Juyal

Apr 18, 2019

Absolutely loved it.

By Muhammad Rifaquat Ahmad

Apr 18, 2019

Excellent Course and teaching style of Prof.Andrew NG!