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

4.9
117,535 notes
28,848 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

PT

Sep 01, 2018

Sub title should be corrected. Since I'm not that good in English but I know when there're mis-traslated or wrong sub title. If you fix this problems , I thin it helps many students a lot. Thanks!!!!!

DW

Feb 20, 2016

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

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251 - 275 sur 27,946 Examens pour Apprentissage automatique

par Jiao Y

Nov 25, 2018

Thanks very much for this gorgeous course. I begin my machine learning from this course and wish I could go further.

par Barnaby D

Nov 25, 2018

Fantastic, clearly a lot of thought has gone into both the lectures and the coursework to make this work really well as an online course.

par Giannis M

Nov 26, 2018

Excellent material and teaching, highly educational and inspiring

par Sudarshan S

Nov 26, 2018

excellent teacher and accessible yet non-trivial content! Thank you.

par sreejus

Nov 24, 2018

Excellent Course !!

par Alex E

Nov 25, 2018

thorough and challenging. learned a lot

par cancan

Nov 26, 2018

great!!!!

par Nikunjkumar R

Nov 26, 2018

A must for any novice on ML

par Saurabh J

Nov 24, 2018

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par Jong L

Dec 12, 2018

great class, love the class, homework is the best way for you to learn the class.

par Carlos J E

Dec 13, 2018

Well structured with practice and perfect examples.

par Pedro T

Dec 13, 2018

Congratulations for the contents of the course, and also for the clarity on the explanations, for the exercices and for web portal.

par Aadil I

Dec 14, 2018

Thank you professor, I have learned a lot from this course :)

par sumingrui

Dec 14, 2018

very good!amazing!!!

par Petr

Dec 14, 2018

best, but octave...

par LYFer

Dec 14, 2018

this is the best lesson of Machine Learning

par Piyush b

Dec 15, 2018

exceptionally worthy, if student does some extra effort

par Evangelos M

Dec 12, 2018

Excellent course, thank you very much Prof . Ng for these great briefly lectures on all the topics. Totally understandable material. I would like also to thank all the mentors for their help!

par David A

Dec 12, 2018

Andrew does an amazing job teaching even the most complicated machine learning concepts in a simple and easy to understand way.

I highly recommend this course for anyone looking for a good place to start their machine learning / AI journey :)

par HenryDavid

Dec 13, 2018

highly recommended, a good class!

par Nikhil K

Dec 13, 2018

learnt a lot of stuff....it was really helpful

par Steve B

Dec 14, 2018

I enjoyed this course and it really helped me understand more about what Machine Learning is.

par wilson w

Dec 14, 2018

so far, the best Machine Learning Course. easy to understand and good for my work in real application

par Sandeep K

Dec 15, 2018

Excellent course .It was really helpful. Thank you for making this.

One small suggestion it would be good if you can add some optional lectures on the math behind some of the algorithm so if people are interested they can view them.

par 赵涛

Dec 13, 2018

The number one introductory course in machine learning。