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Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen von Stanford University

119,262 Bewertungen
29,280 Bewertungen

Über den Kurs

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....



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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25901 - 25925 von 28,386 Bewertungen für Maschinelles Lernen

von Aayushi C

Oct 10, 2019

Exceptionally designed course. Thank you Coursera.

von Samir K S

Oct 09, 2019

Very very good course contents and presentation

von Vijay K P

Oct 10, 2019

Exceptional !

von Nabil M A

Oct 10, 2019

A long journey indeed, very immersive and i feel very confident!

von Ahmad M

Oct 08, 2019


von Dubon R

Oct 08, 2019

More detailled and much better than I expected ! First, I just wanted to get some skills in machine learning so I chose this online course. But I was pleasantly suprised when I discovered it's as complete as my courses at university. I really appriacte this course and I am sure that it will be helpfull in my future works as engineer or as businessman.

von Luiz G G F

Oct 09, 2019

Since I graduated from University, I've been looking for ways to learn Machine Learning. I couldn't find a course for months in my country that I could afford to, though. And after spending months searching for a course, three months ago I finally found this course. At first, I couldn't believe in my eyes. A Stanford course for free about my desirable subject? Without hesitation, I sign up to the course right away and I couldn't be happier for that decision. Thank you, Andrew Ng. and Stanford team for all your support. I really appreciate it.

von Venu M

Oct 09, 2019

Great course with good mathematical treatment of concepts.

von Mohammad G

Oct 09, 2019

Great Course in Machine Learning! I am very happy that I have successfully finished the course :)

von Franck R d S L

Oct 09, 2019


von Naveen S

Oct 09, 2019

"Bohot Hard"

von Luis M R

Oct 09, 2019

Very useful to refresh what learned at the university long ago and get up to date. It is very well organised and I enjoyed a lot doing the practical exercises. Many thanks for doing this course.

von Francesco M

Oct 10, 2019

Starting from basic concept, this course offers a complete overview of ML techniques. Video and slide are very well done, with exhaustive explanation. The coding exercise are very well set up and you can find high level support in the Forum.

von Harshad S

Oct 08, 2019

Very good Content and clarity.


Oct 08, 2019


von Jarvins A

Oct 08, 2019

This is the most useful class I have taken during the first step of my ML study, there are many useful advice and suggestions I had not seen in other classes;

von Jaslan N

Oct 08, 2019

Good course. Clear explanation.

von Sarabjot S

Oct 09, 2019

Great Experience.

von Marcos B G

Oct 09, 2019

By far, the best intro to advanced classical Machine Learning course

von Alberto P

Oct 10, 2019

Very good

von Yaswanth M

Oct 10, 2019

Excellent teaching. It is very helpful for me by learning Machine learning with Math.

von Jonas C

Oct 08, 2019

Excellent introduction!

von Vishal B

Oct 09, 2019

The course was excellent and has helped me get a better understanding of Machine Learning,thanks to Prof. Andrew NG


Oct 10, 2019

Despite of being a long and difficult course, it is the best course on Machine Learning that I have ever taken. The concepts are presented in a very clear way, yet the most difficult. II know much more Machine Learning than before. Now, I feel to be able to appy ML in a better way. Thank you very much Andrew Ng.

von 杨宁博

Oct 10, 2019

Very Nice! I learnt a lot in this course!