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學生對 斯坦福大学 提供的 机器学习 的評價和反饋

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29,678 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....



Jul 24, 2019

This course is one of the most valuable courses I have ever done. Thank you very much to the teacher and to all those who have made it possible! I will recommend it to all those who may be interested.


Oct 26, 2017

Amazing course for people looking to understand few important aspects of machine learning in terms of linear algebra and how the algorithms work! Definitely will help me in my future modelling efforts


27901 - 机器学习 的 27925 個評論(共 28,804 個)

創建者 yettella s p r

Jun 18, 2018

It gives a boost and motivates you to learn machine learning. Also some complicated topics are not explained in detail due to the time constraint. But this is definitely a kick start for your future of AI and machine learning

創建者 Naman J V

Nov 28, 2017

An amazing course to start off with. Thank you Andrew for this wonderful course

創建者 Joerg L

Jul 18, 2017

This is an excellent course explaining the material very clear. The programming-assignments are very helpful to deepen the knowledge.

I deduct one star only because the videos could be sometimes have a better technical quality.

創建者 Roland F

Aug 30, 2017

Great course. Andrew Ng can be a bit verbose at times which has required me to run his videos at 1.25x speed, but he motivates his concepts well and teaches them at a level suitable for newcomers to the subject. The programming assignments were excellent; they enabled me to focus on just developing the algorithms and observing how they function. However I will say I did not particularly enjoy using MATLAB (as someone from a software engineering background). Quizzes after every topic were great and really helped to reinforce the matter and I loved having the slides to reference for later. Great job!

創建者 Muneeb A

Aug 07, 2015

Excellent course. In the start of this course, I never thought I'd be able to do things I can do, after completing the course. But the only thing that kept me from giving this course a straight five stars is the lack of formal proofs. E.g back-propagation algorithm or PCA. I know this is somewhat advanced Calculus/Linear Algebra topics but it would have been a lot helpful if an optional material was at-least given.

創建者 omry.gilon

Jul 08, 2017

I think that more questions of understanding the material are required, some times I got the feeling that I didn't fully understand part of the material, but passed successfully the exams/ exercises.

創建者 Matthew P

Oct 14, 2015

Excellent course. My only criticism was that there was perhaps a little too much hand-holding in the assignments. Still learned a ton! Thank you!

創建者 Seok-jae K

Oct 22, 2015

It is nice course to learning ML

創建者 Shashank S

Nov 30, 2016

this will definetly give you an idea on what machine learningn is. but you need to learn a lot more if you want to be good at it. but this is some good material to start with.

創建者 Alvaro A E H

Oct 23, 2016

Great course!

創建者 Mina M

Jul 08, 2018

it's very good but some how little slow, but in total it's great

創建者 Sudhanshu K

Jan 29, 2018

Course is really good

創建者 AMIT S P

Aug 07, 2016

Excellent Course to get started with machine learning...... it may be even better if it is one of specialization course by same Instructor.

創建者 Charlie K

Oct 18, 2015

I really enjoyed the class, and I feel like I learned a lot! I'd have given it 5 stars, but there's there are parts of the homework asignments that aren't well organized, for example I didn't know about the unit tests in the discussion threads for a while, and there's more detailed descriptions of the programming sections but they're really hard to find. All in all, a really good experience though.

創建者 Pat K

Jan 22, 2016

Great mix of low level technical details, exposure to a variety of topics, and high level strategies.

創建者 Paul C

Nov 24, 2015

The programming exercises were too structured and the course was quite easy.

創建者 Wesley S

Nov 08, 2015

Good introduction to machine learning although the later exercises were quite easy. Once you get through the neural net back propagation section, there really isn't much of a challenge left. That said, you do get a good sense of how the various algorithms are implemented and can self-study from there.

創建者 Sidhardh M

Jun 26, 2017

more examples can be provided

創建者 Mitul T

Jun 22, 2017


創建者 Hanzhang W

Dec 05, 2016

The content is somewhat easy. Adding more in-depth analysis and concepts would be really helpful.

創建者 Homesh R

Oct 18, 2017

This course has been a great learning experience and I have learned a lot. One more suggestion I want to recommend is that there should have been more involved in the derivation of some of the techniques. Those videos can be optional for those who are more into the mathematical stuff.

創建者 Marcelo V

Oct 01, 2017

Algumas aulas não possuem legendas em português :(

創建者 Anthony S

Nov 22, 2015

Very engaging and easy to follow course with a lot of good samples as part of assignment. Loving it so far.

創建者 Hyungjoon K

Nov 17, 2016

Further specific mathematical proof should be needed.

創建者 Wouter D P

Apr 19, 2016

Very good, only the programming exercises are a little basic.