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

4.9
116,642 Bewertungen
28,617 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....

Top-Bewertungen

KM

Aug 11, 2017

Very nicely explained the mathematical topics, even for people like me with some phobia regarding large formulas. Useful hands-on experience with MATLAB coding, which I would have had to learn anyway.

SB

Sep 27, 2018

One of the best course at Coursera, the content are very well versed, assignments and quiz are quite challenging and good, Andrew is one of the best guide we could have in our side.\n\nThanks Coursera

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27176 - 27200 von 27,767 Bewertungen für Maschinelles Lernen

von Terrence C

Jun 23, 2017

I enjoyed taking this course, from the lectures, to the quizzes, to the programming exercises; they all added more insight into understanding and implementing machine learning algorithms. I thought the order in which the material was presented built a sound foundation for each subsequent lecture.

Professor Andrew Ng is a class act. I thank you for offering this course on this forum. This was the best $79 I've ever spent!

I hope to make quick use of these skills that I've learned from this course in the near future.

Thanks again!

Take care and GOD bless!

Terrence Cooke

von Ian C

Aug 08, 2017

Very good course.

Would be better if the differences between Logistic Regression and SVM were clarified; they seem identical to me.

Also, it wasn't clear to me that Linear/Logistic Regression was formulated as Batch Gradient Decent (ie each step uses all examples) until later, when Stochastic Gradient Decent was introduced.

von Arshad I

Apr 17, 2017

I have joined on recommendation by my company associates.Its worth as course is designed step by step learning.

von Xueqi X

Jun 05, 2017

Very hard but a great course!

von Osafa K

Aug 19, 2017

Wonderful way of explaining the ML.

von Viveka N S

Sep 25, 2017

Thanks Andrew Ng for having such a nice course. It gave me a reasonably good idea of ML. Thanks again.

von Mohit S

Mar 03, 2018

Very nice course of Machine Learning is taught to its depth

von melody12ab

Jul 15, 2017

best to people that begin to learn ml

von Monika R

Sep 19, 2017

This course helps me to develop my knowledge...Thanks!!!!

von Shameema H

Feb 08, 2018

Very good to develop a understanding of the techniques covered from first principles, but does not cover tree-based algorithms.

von Ahmad B S

Jul 17, 2017

This is perfect course for a beginner. I am en entry level software engineer trying to pursue my career in ML. This course is really helping me out.

von Vickram P

Jun 28, 2018

This was great! Programming assignments could have been a little more in-depth.

von 陈庆

Oct 02, 2017

It' s a very good introduction to machine learning.

von Elias B

Sep 26, 2017

In some places the course was a bit lengthy, but on the whole it was interesting and very well structured.

With this course I was able to immerse myself even more deeply in the subject area of machine learning.

Thanks a lot Prof. Ng for this course!

von Maurizio C

Apr 04, 2018

I think that use python should result in a better choice than Matlab/Octave for the exercises but the course is great

von Soham G

Dec 06, 2017

Loved this course.Using MATLAB for matrix calculations made work easier.Programming assignments and quizzes highlighted areas which I needed to work on so I found them helpful.Last but not the least,loved Prof.Ng 's style of teaching and also am grateful to Tom and other mentors for keeping up with questions I and other students had.

von Milind S

May 27, 2018

The content is very relevant and good. Couple of videos need some better editing. Regardless, the course is very informative and full of practical advice.

von anand t

Mar 22, 2018

awesome course

von Jonas A

Nov 23, 2017

Only 4 out of 5 due to the fact it was too easy to pass the programming exercises without understanding what actually happened. Other than that, great online course. Highly recommended!

von Sherwin R

Dec 01, 2017

MATLAB is outdated in my opinion

von Daaloul C

Oct 22, 2017

Great for an intuitive and practical introduction to machine learning, however the theory is left behind, which may be bothersome to some (it was to me anyhow). However, Mr. Ng really couldn't be clearer about what he discussed here !

von Rangeet C

May 13, 2018

Really good lecture videos, Prof Ng has put all his effort so that we can put our mettle to test

von Nikhil K

Dec 21, 2017

Can't this course be made available in python?

von zzh606

Jan 19, 2018

非常喜欢老师的课程,很有收获。减一颗星是因为网络原因,很多时候上不了网站,视频缓冲待时大。

von Adam C

Feb 07, 2018

Great class, just fix week nine's pdf to not give bad advice on the programming exercise