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返回到 机器学习

學生對 斯坦福大学 提供的 机器学习 的評價和反饋

4.9
128,971 個評分
31,794 條評論

課程概述

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....

熱門審閱

CC

Jun 20, 2018

good course; just 2 suggestions: improve the skew data part (week 6) and furnish the formula to evaluate the number of iteration in the window from image dimension, window dimension and step (week 11)

AA

Nov 11, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.

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151 - 机器学习 的 175 個評論(共 10,000 個)

創建者 Donny I

Dec 15, 2019

very usefull to study the fundamental of machine learning

創建者 Dhruva

Jan 02, 2020

A exceptionally great course for beginners in the field.

創建者 Sasker G

Jun 05, 2019

Great course to understand how machine learning works!

創建者 Mohammed M

Apr 03, 2019

I learned a lot from this course, very recommended

創建者 Yuhang T

Jan 17, 2020

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

創建者 个a

Apr 02, 2019

excellent class.worth your time and thank you ng

創建者 Roei B

Jan 18, 2019

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

創建者 zhaoyi

Jan 02, 2020

Very good intro course to machine learning

創建者 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!

創建者 Hamed B

Jun 05, 2019

THE BEST COURSE IN ML BY FARRRRRRRR

創建者 Bhanuprasad T

Jan 01, 2019

Loved it. Easy and Excellent Course

創建者 Jaspinder S V

Aug 08, 2015

Awesome course for beginners.

創建者 Mulat Y C

Feb 14, 2020

Machine Learning

Data Science

創建者 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!

創建者 Chandan K

Jun 06, 2019

Great course to study!

創建者 Eugene M

Jan 04, 2019

Very useful course!

創建者 Joy F Y

Aug 07, 2015

It's very useful

創建者 Pavel K

Jun 06, 2019

A great course.

創建者 Hacker O

Jun 17, 2019

very good!!

創建者 Stephen M

Jun 05, 2019

Very useful

創建者 ylfgd

Jun 06, 2019

very good

創建者 THIERRY L

Jan 04, 2019

Excellent

創建者 Saiful I A

Aug 07, 2015

Very Nice

創建者 Vivek K

Dec 13, 2018

Awsome

創建者 Lichen N

Aug 28, 2019

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