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

119,195 Bewertungen
29,267 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....



Mar 31, 2018

Perhaps the greatest instructor and the greatest course, I enjoyed it so much I had continued to do it in between my exams and looking forward fto start or deeplearning,ai specialization in a few days


Aug 19, 2017

Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and coursera and the ones who share their problems and ideas in the forum.

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25751 - 25775 von 28,371 Bewertungen für Maschinelles Lernen

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 Shaurya M

Oct 28, 2019

Great ML course for a beginner. From very basic to expert level of learning. You have put effort into this course and it worth it.

von PAUL J

Oct 28, 2019

Very good introduction course, perfect for starting in this field of studies! Prof Ng strives to make complex concepts quite understandables!

von Gilberto V d C S

Oct 28, 2019

Incredible course!

Very interactive, dynamical and well organized! Content is very fluid and easy to follow and the professor Andrew is very didactic and friendly! The Machine learning course was one of the best courses I took in my life. Congratulations professor Andrew, Stanford and Coursera for this course offering!

von Masrur M

Oct 29, 2019

Great introductory course.

von Manoj

Oct 29, 2019



Oct 29, 2019

Course is really good for starters in Machine Learning. Content is very well designed. Completing the assignment on your own really helps you to grasp the various machine learning techniques.

von Aria S

Oct 30, 2019

Simply the go-to course for starters in ML. Loved it

von Mathis B

Oct 30, 2019

Thank you so much for making this course completely free!

von Rajiv K

Oct 28, 2019

Very nice teaching system.

von Balaji R

Oct 28, 2019

Phenomenal course. Very tough for someone who has a day job.. but the amount of learning has been all worth it.

von Wilton T

Oct 29, 2019

I think this class was very good. It gave a good grounding of the linear algebra behind the machine learning.

Perhaps a capstone project at the end would be helpful.

Also, I do hope that some additional lectures are added, for say CNN or LSTM and other models specifically.

von Cameron G

Oct 29, 2019

Thanks. This was just what I needed, a great introduction into various machine learning techniques. Lots of practical tips.

von Ruthvik M

Oct 29, 2019

This course has taught me so much in such a less span of time. Everything from the tutor to the way the videos and concepts are structured to the way the programming assignments are planned is simply outstanding. This is my first course on Coursera and I have already become a huge fan of it.

von Devika K

Oct 30, 2019

Easy to follow, well structured. Andrew Ng is an amazing instructor.

von Frederico V A

Oct 30, 2019

Fantastic course. Its worth of your time. Thanks Professor Andrew Ng and Coursera

von qi w

Oct 30, 2019

This is really a good course helping me with the algrithms. I like the idea of bringing industry/academic experience to this course.