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Avis et commentaires pour d'étudiants pour Apprentissage automatique par Université de Stanford

4.9
étoiles
129,157 évaluations
31,847 avis

À propos du cours

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....

Meilleurs avis

WZ

Apr 03, 2018

Very nice course,. Give a fundamental knowledge of machine learning in a clear, logic and easy-to-understand way. Suitable for those who has relatively weak background of math and statistics to learn.

ML

Aug 19, 2017

Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and coursera and the ones who share their problems and ideas in the forum.

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151 - 175 sur 10,000 Avis pour Apprentissage automatique

par Donny I

Dec 15, 2019

very usefull to study the fundamental of machine learning

par Dhruva

Jan 02, 2020

A exceptionally great course for beginners in the field.

par Sasker G

Jun 05, 2019

Great course to understand how machine learning works!

par Mohammed M

Apr 03, 2019

I learned a lot from this course, very recommended

par Yuhang T

Jan 17, 2020

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

par 个a

Apr 02, 2019

excellent class.worth your time and thank you ng

par Roei B

Jan 18, 2019

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

par zhaoyi

Jan 02, 2020

Very good intro course to machine learning

par Zilin L

Jun 07, 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!

par Hamed B

Jun 05, 2019

THE BEST COURSE IN ML BY FARRRRRRRR

par Bhanuprasad T

Jan 01, 2019

Loved it. Easy and Excellent Course

par Jaspinder S V

Aug 08, 2015

Awesome course for beginners.

par Mulat Y C

Feb 14, 2020

Machine Learning

Data Science

par 梁驰

Feb 08, 2020

喜欢吴恩达教授的课,讲的非常的好!教授很谦虚!赞赞赞!

par Chandan K

Jun 06, 2019

Great course to study!

par Eugene M

Jan 04, 2019

Very useful course!

par Joy F Y

Aug 07, 2015

It's very useful

par Pavel K

Jun 06, 2019

A great course.

par Hacker O

Jun 17, 2019

very good!!

par Stephen M

Jun 05, 2019

Very useful

par ylfgd

Jun 06, 2019

very good

par THIERRY L

Jan 04, 2019

Excellent

par Saiful I A

Aug 07, 2015

Very Nice

par Vivek K

Dec 13, 2018

Awsome

par Lichen N

Aug 28, 2019

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