Chevron Left
Retour à Apprentissage automatique

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

4.9
116,957 notes
28,701 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

SS

May 17, 2019

This is course just awesome. You get everything you wanted from this course. It covers on all topics in detail, helps in getting confidence in learning all the techiques and ideas in machine learning.

VB

Oct 03, 2016

Everything is great about this course. Dr. Ng dumbs is it down with the complex math involved. He explained everything clearly, slowly and softly. Now I can say I know something about Machine Learning

Filtrer par :

176 - 200 sur 27,873 Examens pour Apprentissage automatique

par 赵俊文

Nov 18, 2018

GG

par XIAOYU B

Nov 19, 2018

非常棒的Machine Learning入门课程

par Michal S

Nov 19, 2018

Great course!

par Zejin H

Nov 18, 2018

Thank you Professor Andrew NG for this interesting introduction to Machine Learning World.

Coursera is such a great platform for people around the world to get the knowledge as they wish.

Thank you again for all the contribution done by your team.

par Amit R

Nov 18, 2018

Really enjoyed this course. Although being my first computer science course I still found it very easy to follow and understand. Learned some very important topics and will definitely try to finish the rest of the courses in this series.

par Pedro H

Nov 19, 2018

This was an amazing course to get started with machine learning. The pace and motivational support from Andrew was great. The content had the right level of difficulty, not too hard, not too easy. This the best overview of the techniques used for machine learning and applications with the right level of detail. The errors in lectures are all listed in the many erratas.

par Srikanth N

Nov 18, 2018

Great course! Be patient and solve all problems. Well worth it.

par Dipesh P

Nov 18, 2018

Both Prof Ng and Tom are excellent educators. I strongly recommend this course to anyone who is looking to get into this field. Also, given the quality of the education and the cost, it's a great value!!

par Andrii K

Nov 19, 2018

The best online course to get started with machine learning. Thank Andrew Ng for a such amazing experience.

par EL M A

Nov 19, 2018

The course was largely helpful over many sides. I've learned some of new concepts about machine learning and how it's applied on a couple of problems. One of the greatest thing in the course is the way Mr. Ng explains easily the concepts. Thank you !

par liyong

Nov 19, 2018

very nice course. The concepts are clarified very well.

par Reece E

Nov 19, 2018

Excellent introductory course to machine learning, with good examples and quizzes to help consolidate the training material.

par Nikita G

Nov 18, 2018

Awesome. Just awesome.

par Umesh K L

Nov 19, 2018

Excellent Course.

par Rahul C

Nov 19, 2018

Sooo good!!

par sol87

Nov 17, 2018

super awesome lessons

par Ethan ( W

Nov 17, 2018

Best course for machine learning

par Kostas P

Nov 18, 2018

An excellent course, fine structured, well organized, very dense content suitable for working people.

I fully recement it.

par Luca C

Nov 18, 2018

This is my first online class. I benefited greatly from it. The class has given me confidence and enthusiasm to continue learning online on Coursera. Thanks!

par Pawan G

Nov 18, 2018

Great content and insight.

par panja

Nov 19, 2018

Best ML course I have ever done. Easy to understand

par Ryutaro_Inatsu

Nov 19, 2018

This is the most helpful course for all beginners of Machine Learning.

Thank you very much indeed.

par arif h

Nov 19, 2018

Very nice teacher and method of teaching is too nice .

par Hugo L M

Nov 19, 2018

Great Course, I've learned here everything I needed to start in this world.

par Eugene K

Nov 17, 2018

very useful and clear