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

4.9
121,674 Bewertungen
29,878 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.

RD

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

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25626 - 25650 von 28,994 Bewertungen für Maschinelles Lernen

von 高延庆

Jun 05, 2016

内容全面,讲解清晰,课后作业很nice

von Abinaya P S

Sep 09, 2019

This course really helped me understand Machine Learning and made me realize my real interests in AI. I'm so glad I stumbled upon this course. It's the best for any ML apirant.

von chen z

Dec 17, 2018

Best online courses I've ever taken

von Angélica M

Jun 12, 2019

Very nice course. The math breakdown was incredibly easy to understand and it really clears out the way this algorithms work so it gets easier to use them.

von Kush K

May 24, 2017

This is an amazing course, but I foresee that this course could be used by anti social elements for mass destruction, hence please do proper student verification beforehand.

von Sinan H

Oct 04, 2015

Concepts well taught.

Challenging Assignments.

No road-blocks.

Clear notations.

Learned a lot!

von Jorge J F S

Apr 18, 2019

It is a great course for beginners. Maybe it could difficult for you with some concepts but if you repeat the class you will able to understand it.

von Abhishek

Oct 15, 2017

A very good course for people like me who have a non-CS background and want to enter this field.

von Manuel Á M B

Aug 17, 2017

If you read this, teacher, it was awesome.

von Sanath R

Oct 31, 2019

I am truly grateful for the financial aid that Coursera has provided me, and would like to thank the course instructor, Dr. Andrew NG very very much!!!

von Ali B

Apr 05, 2018

Best introduction Course to Machine Learning by the Legend himself

von José A C M

Nov 26, 2016

Genial

von 沈嘉暐

Aug 13, 2019

很细致的讲解,通俗易懂。还有作业督促学习。

von Yanting C

Apr 17, 2018

I have learned the basic machine learning course at university. However, I feel muddleheaded after taking those courses because informations learned are fragments. This Machine Learning course helps me put all fragments learned previously into a cohesive whole. The course is amazing and helpful!

von 段永耀

Apr 18, 2018

课程讲的很详细,但是现在是否可以更新一下版本了?比如python版本的?

von Chu T W

Jan 13, 2018

An amazing course! I learnt so much state-of-the-art machine learning techniques and their applications! Andrew Ng is an awesome teacher who could translate difficult mathematics into simple human languages.

von Nicolas J

Oct 28, 2015

Very good course, gives an excellent theoretical overview of linear regression, logistic regression, neural networks, as well as practical tips to make them work well on "real life" datasets.

Thank you for the course.

von Dawei L

Oct 16, 2016

Very nice!

von michael

Feb 02, 2019

thank you very much Prof Andrew Ng. I Learned a lot from you, and I feel a little bit sad especially watching the end of the video. I feel like you're one of the best teacher I had.

von Niranjan K

Oct 13, 2016

Highly recommended course to anyone who is interested into ML

von venky

Jun 29, 2017

Kick start your machine learning journey with this course, which offers both in-depth and vast coverage of the topics.

von Lokender Y

Apr 11, 2019

Very intresting course material, complex methods explained in very easy way, Thanks to whole team

von Andrew Y

Jun 09, 2019

Excellent course! Great information on ML.

von Igors F

Oct 05, 2016

Very usefull

von CMC

Jan 30, 2018

This course demystified machine learning for me. Prof. Andrew Ng was very clear in his explanation. I recommend anyone who is intimidated by Machine Learning to take this class to remove some of the fear of this rising area. Now, terms like machine learning and neural network are no longer buzz words for me. I look forward to taking more class from Prof. Ng.