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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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25676 - 25700 von 27,763 Bewertungen für Maschinelles Lernen

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 Samir K S

Oct 09, 2019

Very very good course contents and presentation

von Shengxiang W

Oct 09, 2019

Super informative course!

von Naveen S

Oct 09, 2019

"Bohot Hard"

von Andreas M

Oct 09, 2019

Great course to learn the basic principles of machine learning. This course helped me to deeper understanding of the algorithms of machine learning and how to apply them to real world problems. The programming assignments took me sometimes longer than the suggested 3 hours, maybe due to my poor octave/matlab knowledge and although to the fact that English is not my mothertongue. But I wouldn't let out one single exercise. Just a slight recommendation according your tutorials and FAQs board. It would be helpful if you could clean up the boards and throw out questions/comments like "I cannot upload my assignment" because they have no relevance to other learners. Helpful are hints like "if you get a value of 23 instead of 22 check the dimension of your xy...".

von Nitish S

Oct 10, 2019

Extremely useful course for begineers in machine learning

von Adam F

Oct 08, 2019

It was great course. It gave me great start into Machine Learning. Thanks a lot !!!

von Mustafa M T

Oct 08, 2019

If you want to know what math is in Machine Learning, it's for you!

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 yanlei

Oct 09, 2019

非常好的课程, 里面的东西从浅入深, 但也需要课后不断的自我充实, 给我很多的学习动力.

von Venu M

Oct 09, 2019

Great course with good mathematical treatment of concepts.

von Aayushi C

Oct 10, 2019

Exceptionally designed course. Thank you Coursera.

von Vincent L

Oct 10, 2019

Excellent course it is!

von Muhammad R

Oct 11, 2019

Professor Andrew is love!

von lixiansong

Oct 11, 2019

many excise and good teacher

von Olivier V

Oct 11, 2019

Cours très détaillé et à la fois bien expliqué, complet et couvre les principaux concepts du machine learning.

von JINGYU Z

Oct 12, 2019

Thank you Andrew Ng! It is really helpful!

von Christoph L

Oct 12, 2019

An excellent course that gives a very good look into machine learning and some very important concepts - not just the learning algorithms themselves. Highly recommended!

von 施钧亨

Oct 12, 2019

best course in machine learning!

von Jimmy J

Oct 12, 2019

Such an amazing experience. Andrew Ng explains these advanced topics succinctly and makes the lessons easy to understand. The programming exercises were challenging, and fun to work through. Moving on the deep learning specialization next!

von Pranav s

Oct 13, 2019

brilliant course

von Ian V

Oct 13, 2019

Great course. Material well presented and relevant to real world problems.

von Mufid A

Oct 13, 2019

very good coverage of machine learning

von Tomas O

Oct 14, 2019

Excelente en todos los aspectos.