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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

121,038 個評分
29,721 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....



Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond ", Y), model.predict(X)" then this is the course for you.


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.


201 - 机器学习 的 225 個評論(共 28,832 個)

創建者 Rohan R

Jan 28, 2019

Andrew Ng is an excellent and caring professor.

創建者 TanBui

Jan 28, 2019

An extremely basic but not easy experience about Machine Learning concepts. It has been very helpful for me to have a better grasp in my future Deep Learning careers.

創建者 Florian P

Jan 28, 2019

Very intiutitve. Good lecture materials, nice tutorials.

創建者 Alex L

Jan 28, 2019


創建者 Michael G B

Jan 29, 2019


創建者 Sumant k

Jan 27, 2019

great course

創建者 Nikhil K

Jan 28, 2019

kindly cover more algorithms so it would be grateful for us

創建者 Marcelo A X

Jan 28, 2019

Such an awesome course!! Te content is assertive and broad. The professor teach complex concepts in a very clear and simple way. The exersices are rich and complete and not much complex for a student. This is a mandatory course for AI students.

創建者 Arvind G

Jan 28, 2019

Very educational. I learned a lot, and feel that I have now quite a thorough understanding of the basic principles of machine learning.

創建者 Juan C

Jan 29, 2019

Es muy bueno. Permite tener un conocimiento completo del tema,

創建者 李大权

Jan 29, 2019


創建者 Yang Y

Jan 27, 2019

Fundamental and useful!


Jan 27, 2019

Very structured and complete. The exercises are very useful

創建者 Ijoline H

Jan 27, 2019

Very clear! Thanks Andrew Ng.

創建者 Luke W

Jan 28, 2019


創建者 闻海宾

Jan 28, 2019


創建者 Dale

Jan 28, 2019

Thank you very much for offering this wonderful course for us!

創建者 Christopher C

Jan 29, 2019

Such a great course from a great teacher. Really recommend this one to absolute beginners.

創建者 Cristian G

Jan 27, 2019

Un curso maravilloso, muy completo y el tutor explica muy bien, los ejercicios son practicos y ayudan a afianzar el conocomiento, hay que dedicar tiempo y tomarlo muy en serio.

創建者 Lucian N

Jan 27, 2019

a very good step towards learning ML. thanks!

創建者 David

Jan 28, 2019


創建者 dhrumil r

Jan 28, 2019

A very informative course which is helpful in understanding the basic of machine lesrning and how to implement it

創建者 ainavilli v

Jan 28, 2019

what a great mentor you are .thank you Andrew Ng for this great stuff

創建者 Gustavo M V R

Jan 28, 2019

I decided to take this course moved by curiosity, and I didn't expect it to be so helpful for my work. However, Professor Andrewn Ng exeeded my expectations, and the content of this course was not only interesting for my research, but it opened new ways in which machine learnig can be an useful tool for me. I am a young astrophysicist, and I could inmediately use the concepts of linear regression and neural networks to fit complex functions describing different states of the atom, and to classify automatically different kind of galaxies.

創建者 Muhammad U

Jan 28, 2019