Chevron Left
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

121,674 個評分
29,878 個審閱


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....



May 19, 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.


Apr 18, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.


27926 - 机器学习 的 27950 個評論(共 28,999 個)

創建者 Jaideep K

Feb 05, 2018

assignments were very easy. make a little tough assignments.

創建者 Thomas F

Sep 14, 2017

Good course. Sometimes very challenging.

創建者 Jordi m

Jun 11, 2017

Very good but a little too low level some times

創建者 Matej K

Jun 01, 2017

The course is good as an introduction to the field of machine learning. It teaches some of the basic concepts in several ML topics and the professor gives a lot of practical advices (this is the part I found the most useful). I found it funny that professor Ng mentions several times during the lectures, that you should consider yourself an expert in the field if you finish this class, which I think is not true. If you have some background in ML, this probably isn't the course for you (or you can check it out as a refresher, it shouldn't take you much more than a week to finish the lectures and assignments).

創建者 Marc-Antoine G

Jun 06, 2017

a good course

創建者 Youssof Y

Apr 20, 2017

I just finished the course and I want to say it is pretty details and covers a huge variety of topics in machine learning. The problems I had with this course is specifically with the quizzes and programming assignments; I would get stuck with no idea of what the correct way is to solve it, what I'm doing wrong, or sometimes I don't even know what the question wants me to do. However, with perseverance, I was able to get through every one of them.

創建者 Benjamin F

Nov 24, 2017

Thank you ! Great class.

I would have liked to have a module on classifier and regression trees. Maybe it will be on a next version of this class !


Apr 17, 2017

Good introduction to machine learning. Well Done

創建者 Dipayan S

Nov 15, 2017

It's good for basic knowledge

創建者 Remi M

Apr 07, 2017

Especially the first few weeks were great and the programming assignments were quite interesting.

創建者 Hamish O

Oct 05, 2017

Really enjoyed the class. A nicely balanced introduction to a topic I didn't know much about before. Prof Ng is very positive and engaging, and clearly has taken the time to think about how to explain the concepts in an accessible way. I would have liked more programming exercises for the last two weeks, and also some suggestions on what to do next in the final video. There are some resources to choose from hidden in the resources tab but I'm not quite sure what to do next. I guess that this is still a positive sign for the class - I'm itching for more!


Aug 28, 2017

Very Informative. ML Concepts are explained in simple term. Highly recommended one for beginers in Machine learning .

創建者 Roberto M

Aug 27, 2017

This course is quit hard, specially during the Programming Assignments. Some quizzes were hard, but for the most part I will recommend this course to everyone that will like to learn Machine Learning.


Sep 25, 2017


創建者 Tapan M

Mar 17, 2018





























創建者 Alex S

Aug 24, 2017

Great, just some of the assignments are a bit frustrating simply because you aren't given clear instructions on what you are supposed to do. Getting assistance with code is also near impossible for some questions. Overall I learned a lot and enjoyed the class, but there is still a bit of room for improvement I think.

創建者 Sergey A

Aug 11, 2017

Programming exercise could have been more difficult and involved

創建者 Dhruval

Mar 03, 2018

It was a good experience .

創建者 Edward T

Oct 14, 2017

I've learnt a lot of machine learning through this course and I've realized how machine learning systems work actually. Especially, the part of supervised learning was very detail. However, I thought that unsupervised learning could be more detail.

創建者 Prashant

Aug 30, 2017

Good course, but i think it should have been fast paced and more precise.

創建者 André V

Jan 06, 2018

Not technical enough, and should have involved more mathematics (in my opinion). Apart from that, really great course!

創建者 Krishna P P

Jun 28, 2018

Organized curriculum, Prof.Andrew places high emphasis on intuitive understanding of the subject rather than drilling equations - My only wish is, they had taught it using Python which is far more versatile.

創建者 Arpit S S

Mar 02, 2018

The course was amazing

創建者 Sanjay B

Jun 24, 2018

The course is superb but iI took away one star because some of the materials need to be updated and the instructions are confusing at times.

創建者 Riley M

Feb 19, 2018

Very informative and great examples for application.