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

119,262 notes
29,280 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


Oct 31, 2017

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.


Oct 15, 2016

It's a good introduction - not too complicated and covers a wide range of topics. The programming exercises are well put together and significantly help understanding. The free Matlab license is nice.

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226 - 250 sur 28,401 Examens pour Apprentissage automatique

par Nuo

Nov 25, 2018

Great course and will continue on deep learning.

I hope to design a ML model in the future for medical diagnoses and reduce the cost of seeing doctors for patients who are not rich and cannot afford medical payment.

par DingMing

Nov 25, 2018


par Ibraheem T

Nov 26, 2018

Great course, I would recommend it to anyone who wants to learn about Machine Learning and AI.

par Edward F

Nov 26, 2018

learned a lot. fun times.

par Marcin S

Nov 24, 2018

Great course!

par Xinglong S

Nov 24, 2018

Wonderful course! Andrew is a great instructor.


Nov 25, 2018

Best tutorial for machine learning, the instructor is explaining the concepts very clearly and it is making easy to understand. The instructor is making ease and feel comfortable to understand by giving good examples.

par Alexander M

Nov 25, 2018

Thanks a lot ! This course is really great! I recieve math background for basics ML algorithms and now its are clear for me!

par 金主星

Nov 26, 2018



Nov 26, 2018

I have learned a lot of algorithms and numerical problems of Machine Learning from this course.

It is very helpful for me to do best in my project. This course has given me a way for thinking new in machine learning.

par HoangLai

Nov 24, 2018


par Sachin K

Nov 24, 2018


par Ali A

Nov 24, 2018

I recommend this course for everyone willing to master the useful Machine Learning techniques. Thank You !!

par Shyam M

Nov 25, 2018

A very good course for machine learning enthusiastics to start with. Review questions and programming exercises are well designed to help recap the concepts and how to apply machine learning concepts in real. Mentors are very much helpful in helping students in understanding concepts and completing the assignments. I would recommend this as a must do course to all machine learning enthusiastics out there.

par Morgane

Nov 26, 2018

Really good course ! Everything is very clear, it has enough maths for advanced people but still manageable for beginners.

par SW J

Nov 24, 2018

Thank you for your wonderful lecture.

It was very helpful to understand AI and apply it.

thank you.

I hope that Many others listen to this lecture and get help understand AI and apply it.

par LIU X

Nov 24, 2018


par Iri

Nov 24, 2018


par giorgio d

Nov 24, 2018

really insightful. Now I understand Machine Learning!

par satyam s

Nov 25, 2018

The way Andrew goes through the basics of so many areas is brilliant. This was my first machine learning course and he filled me with knowledge, confidence and hope. Thanks Andrew.. cheers..

par Alexander Z

Nov 25, 2018

Very clear - could use some editing to remove mistakes though.

par Rahul

Nov 25, 2018

It is an amazing course to learn with a lot of fun.

par François N

Nov 26, 2018

Great content, with a reassuring instructor who makes complex mathematical concepts easier to digest.