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Avis et commentaires pour l'étudiant pour Apprentissage automatique par Université de Stanford

4.9
119,407 notes
29,316 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

RC

Jul 19, 2019

Amazing course. It gets deep into the content and now I feel I know at least the basics of Machine Learning. This is definitely going to help me on my job! Thanks Andrew and the mentors of the course!

RK

Aug 20, 2019

It is the best online course for any person wanna learn machine learning. Andrew sir teaches very well. His pace is very good. The insights which you will get in this course turns out to be wonderful.

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251 - 275 sur 28,437 Examens pour Apprentissage automatique

par Puravkumar P

Dec 18, 2018

this course is amazing.......thank you

par Phu

Dec 19, 2018

This is a great course.

par Asjad M

Dec 19, 2018

Machine Learning course has been an exciting and challenging learning experience.

Special thanks to Andrew Ng. His simple explanations are vital for beginners enabling them understand difficult concepts

par Ritik K

Dec 19, 2018

It was really an awesome course and being a beginner , I really faced much less difficulties as I thought I would.

par Rohit K

Dec 20, 2018

Loved the courses will surely recommend this to everyone who is interested in ML.

I feel anyone who has completed this course sincerely has taken a huge step in their ML career.

par Pallapothala T

Dec 20, 2018

It is very useful for lot of students as it is trending technology and it is necessary to learn for a bright future.

par 林成海

Dec 20, 2018

h很实用的机器学习课程

par Sreeram K

Dec 18, 2018

No words to describe this masterpiece! Simply the most amazing course you'll find online!

par Carlos D J

Dec 18, 2018

The best course

par wangning

Dec 20, 2018

课程超有用,老师讲的很清晰,即使很难的问题也变得简单起来!而且视频一般不太长,即使是琐碎时间也能用来学习。穿插着的问题也很大地提升了学习的兴趣。而且课程内容实用性很强!

par Takurou N

Dec 20, 2018

この講義を受けてよかったです。

最高の授業でした。

par Aman J

Dec 20, 2018

What a great teacher.

par Guntur W

Dec 20, 2018

very good

par Sneh N P

Dec 20, 2018

HIghly recommended course, specially for Machine Learning Enthusiasts with Engineering/Maths/Background. Learned a lot. Very carefully designed course. Never had any open/uncleared doubt for long, either it got clarified instantaneously or sometimes as the course moved forward.

A big fan of Andrew Ng. Looking forward for next course on ML by Andrew.

par Martin L

Dec 18, 2018

The theoretical apparatus is always pretty well demonstrated on some practical application which helped me a lot to understand how it really works. The programming exercises are always very well prepared and focus on the main topic and don't bother the students by having to create any boiler plate code etc.

par Tomas K

Dec 18, 2018

This course is very well explained in the provided videos. Real life examples makes the students to see real benefit of showed algorithms.

par Arturo R M

Dec 18, 2018

Great material, great assignments and great professor. One of the best courses to start learning about Machine Learning.

par Rupjyoti N

Dec 20, 2018

This was my first course in Machine Learning. I would like to thank Prof. Andrew Ng. for giving dedication and spending time making such a great course. All the concepts were explained very well. The review questions were tricky and conceptual, with great programming exercises. Another thing that I found great is the industry reference made, and that the same technology is being used in the Silicon Valley. He also motivates to build great and cool products. Thank you Coursera. Thank you Prof. Andrew Ng.

par Anchal S

Dec 18, 2018

Very well taught. I recommend every machine learning student to start with this course.

par Chen Z

Dec 18, 2018

a great introductory course to machine learning in general

par Yuriy D

Dec 18, 2018

killer content, very concise and easy to pick up

par yizhangliu

Dec 19, 2018

Very good course for me. Thanks

Andrew Ng and others

par Aviv P

Dec 19, 2018

amazing course!

par Andy W

Dec 19, 2018

I found the class very useful with practical guidance. I now look forward to applying it to problems in my work.

par Manjot K

Dec 19, 2018

This course has been very useful.Helped to understanfd algorithms better.Mathematical part and complicated equations were very well explained.