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Learner Reviews & Feedback for Machine Learning by Stanford University

4.9
stars
160,739 ratings
41,188 reviews

About the 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

AD
Apr 21, 2017

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

RP
May 18, 2019

This is the best course I have ever taken. Andrew is a very good teacher and he makes even the most difficult things understandable.\n\nA big thank you for spending so many hours creating this course.

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251 - 275 of 10,000 Reviews for Machine Learning

By Shrey S

Jun 3, 2020

Terrific introduction course and taught in a very engaging manner!

By Sahibjot S

Mar 14, 2021

Excellent course !! Way of teaching of Sir Andrew Ng is superb.

By Mrinal G

Jan 17, 2020

Best Online Machine Learning Course available. Excellent tutor.

By carol

Aug 3, 2020

吴老师的机器学习讲的非常好,浅显易懂,

理论与实践相结合,易于掌握各个知识点。

谢谢吴老师精彩的讲解。

期待学习吴老师的其他课程!

By zhiyiwang

Sep 15, 2019

Very understandable and straightforward class for beginners.

By Donny I

Dec 15, 2019

very usefull to study the fundamental of machine learning

By Dhruva

Jan 2, 2020

A exceptionally great course for beginners in the field.

By Maurya R

Jun 3, 2020

It is a very good course for Beginners. It's worth it!

By Sasker G

Jun 5, 2019

Great course to understand how machine learning works!

By Mohammed M

Apr 3, 2019

I learned a lot from this course, very recommended

By Yuhang T

Jan 17, 2020

thank you, I have learned a lot from this class.

By 个a

Apr 2, 2019

excellent class.worth your time and thank you ng

By Roei B

Jan 17, 2019

10/10. Andrew is an amazing teacher. Thanks!

By zhaoyi

Jan 2, 2020

Very good intro course to machine learning

By Zilin L

Jun 7, 2019

几乎没有数学要求,老少咸宜。

编程作业设计非常用心,专注于让学生完成核心人物。

好评!

By Hamed B

Jun 5, 2019

THE BEST COURSE IN ML BY FARRRRRRRR

By Bhanu p T

Jan 1, 2019

Loved it. Easy and Excellent Course

By Luu V L

Aug 5, 2020

best ML course in the world !!

By Jaspinder S V

Aug 8, 2015

Awesome course for beginners.

By Mulat Y C

Feb 14, 2020

Machine Learning

Data Science

By Mewada A J

Aug 5, 2020

best experience of learning

By 梁驰

Feb 8, 2020

喜欢吴恩达教授的课,讲的非常的好!教授很谦虚!赞赞赞!

By chandan k

Jun 6, 2019

Great course to study!

By Eugene M

Jan 4, 2019

Very useful course!

By Joy F Y

Aug 7, 2015

It's very useful