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

111,650 Bewertungen
27,503 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


Apr 22, 2017

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

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251 - 275 von 26,662 Bewertungen für Maschinelles Lernen

von Yuriy D

Dec 18, 2018

killer content, very concise and easy to pick up

von yizhangliu

Dec 19, 2018

Very good course for me. Thanks

Andrew Ng and others

von Aviv P

Dec 19, 2018

amazing course!

von Andy W

Dec 19, 2018

I found the class very useful with practical guidance. I now look forward to applying it to problems in my work.

von Manjot K

Dec 19, 2018

This course has been very useful.Helped to understanfd algorithms better.Mathematical part and complicated equations were very well explained.

von Rishab S

Dec 19, 2018

Amazing course for complete beginners but with a background in maths.

von Karl N

Dec 20, 2018

An excellent course that provides both a good overview of machine learning technology and practical exercises that help reinforce the technology. I found it a challenging course as it requires a good knowledge of vector and matrix mathematics, Octave/Matlab programming and some mathematical concepts that I've not used to this extent. The work is ably assisted by an excellent group of tutorials and mentors which help ease what was quite a steep learning curve for me. I can highly recommend this course to learn what ML is about - don't let concerns about the level of mathematics or programming stop you from at least attempting this course. You will need enough free time to view the lectures and undertake the programming assignments and the course timings are pretty accurate, although a couple of the programming assignments took longer than expected due mostly to debugging my Octave code (often stupid errors that took me time to find and test).

In conclusion the course is an excellent balance of theory and practical work to see if you do actually understand what you've learnt in the lectures. Some basic skills in programming and mathematics (especially summation and vector arithmetic) would be of use, but this knowledge is not assumed and you should be able to complete the course and greatly expand your knowledge of machine learning principles, Octave/MATLAB programing and vector arithmetic, all in one course - bargain!

von Jiri S

Dec 18, 2018

Excellent! I did enjoy the course and I was very happy to apply my university algebra knowledge in practice after many years :-) In addition, I feel like I developed a friendship to Andrew Ng during the course and a was sad that I needed to say goodbye to him at the end of the course :-) Thank you again!

von Cojocari I

Dec 18, 2018


von Yuman L

Dec 19, 2018

I have to say, this is the best course I have taken in my university time!

von 任杰文

Dec 20, 2018

It's high valuable for beginners to get the intuition and stimulate interest of machine learning.

The course is highly organized and clear to get the top view of the research area for me.

von Zhi W S

Dec 18, 2018

Thank you Andrew for sharing his knowledge and making Machine Learning easy to understand.

von Yann D

Dec 19, 2018

Very well explained. Lots of Value. Actionable.

I couldn't have hoped for better.

Thank you so much Andrew.

von Ernesto F

Dec 19, 2018

The best course!

von Jatinder S

Dec 19, 2018

It is very valuable course for me. Thank you Coursera and Andrew Ng

von 呂晏州

Dec 05, 2018

Very good for a machine learning beginner!

von Bin S

Dec 06, 2018

Very good course! Clear syllabus, wise time allocation, articulate explanation, helpful exercise! Andrew makes this course so extraordinary in my learning life!

von Ajif Y P Y

Dec 07, 2018

Good course. and I learned many thing from it

von Jishu B

Dec 05, 2018

I feel very grateful to complete this course finally. This eye opener courser has taught and enhanced a lot of capabilities to fill my arsenal. Thanks Andrew NG for being the most wonderful teacher I have ever came across online. Not chastising the way my university worked backed then, but I solemnly believe that teachers like you should be present and incubated across the globe. Thanks!!!

von Omar A M

Dec 06, 2018

I am really enjoyed this course

von Damian

Dec 06, 2018

Very clear explanations from Andrew and a very complete browse through the most important topics of ML. I'm glad I have taken this course.

von 蒋杰克

Dec 08, 2018


von thecrossed

Dec 06, 2018

Learning is inspiring!

von Kyle B

Dec 06, 2018

Very good course. I really learned a lot about the math and the concepts behind Machine Learning and the algorithms. The course does not expect you to meticulously go through the math of each algorithm which I like. What's important is that you're able to understand the math instead of just memorizing it.

von Jiacheng Z

Dec 06, 2018

Very great