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Bewertung und Feedback des Lernenden für Maschinelles Lernen von Stanford University

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170,060 Bewertungen
43,489 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

AD

21. Apr. 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.

AF

16. März 2021

I want to thank you very much for such a great course in any aspect especially from professor Ng . I just want to suggest that it would be great if there was a final project for the end of the course.

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251 - 275 von 10,000 Bewertungen für Maschinelles Lernen

von Hicham J

8. Apr. 2020

Very challenging and rewarding course. From concepts to hands-on experience, I enjoyed the journey and would highly recommend this course to my colleagues.

von Jorge L R C

5. Juni 2019

Even being for a "old" course, it has the very best ground of concepts and techniques of Machine Learning. I am very much satisfied and have learned a lot.

von Danny F B L

12. Feb. 2020

This is definitively an excellent course for beginners. I am graceful with Andrew Ng for the dedication he gave for building this course. Congratulations.

von Ajay T

29. Juli 2019

Excellent course. Discussion forum help from the mentors was super in the first half of the course but towards the end the mentors did not participate

von R S

15. Mai 2021

Hi,

After this course I am feeling very confident and now can confidently make changes to my algorithms.

Thanks to Andrew for setting up these courses.

von Yash G

28. Jan. 2022

Love the course, despite its content being somewhat old, it's still relevant and used frequently in today's ML day and age. 10/10 in my opinion

von Carlos A M A

18. Okt. 2020

Excellent course to teach the fundamentals of ML and AI. It is the best course and I recommend making the programming exercises a but longer!

von Leonardo

22. Juni 2021

Thank you Andrew and all other involved in this outstandiing course. I also thank you for giving me the opportunity of the financial aid.

von Sohan j

6. Juni 2019

It was an amazing experience in learning Machine learning. I learnt a lot from this course. I thank the instructor, Prof. Andrew.

von Anish K A

22. Feb. 2019

Excellent course. I am not an expert in mathematics, but this course gives me a very good understanding of ML and algorithms.

von Joydeep S

7. Nov. 2018

Excellent course. Anyone interested in Machine Learning should definitely take this course. Thanks Andrew for making this.

von Cosmin V N

7. Aug. 2015

Amazing course. Complex topics explained in a way that anyone with a rudimentary understanding of math can follow.

von Naveen K

9. Apr. 2020

One of the best Machine learning course :) Andrew's way of teaching is really a masterpiece :) Thank you Coursera

von Luka B

30. Jan. 2019

Great course, only a bit updated. Would be wonderfu if there was an update (or additional week of two) for 2019!

von 黄生

1. Apr. 2021

Thank you to the course team! Your efforts make the world more better , Let's make things better and better !

von Mai S

6. Juni 2019

Thanks Andrew for this informative course. I am looking forward to taking deep learning specialize as well.

von Nguyễn H T

5. Jan. 2019

This course is absolutely amazing and suitable for ones who want to begin to study about Machine Learning.

von Shilpa

15. Sep. 2021

Highly recommended for those who have passion or interest in learning machine learning. Neatly presented.

von Lukas C

31. Okt. 2020

VERY GOOD!!!! BEST CLASS TO LEARN Machine Learning as a beginner and easy, pretty concise intuitions.

von Anton S

21. März 2019

It's a good way to get an understanding of machine learining principles and to improve your English.

von dinh

15. Dez. 2018

Great course on Machine Learning. I learned a lot!

Thanks to Professor Andrew NG and all the mentors.

von Sarbaseesh G

1. Mai 2022

it gives you the adequate support for your little baby steps to walk into the wonderful ML world

von Yu-Shih C

4. Jan. 2019

Great introductory course for Machine Learning using MATLAB/Octave. Highly recommended.

von syh

9. Feb. 2020

从机器学习新人、小白,通过这门课程充分理解了机器学习的原理,掌握了一些机器学习的技巧,并能够根据学到的知识,举一反三,应用到更复杂的机器学习算法的理解中。总而言之受益匪浅。

von runner_yang

25. Juli 2019

Thank you sincerely! I have learned a lot through this course. I love Ng and coursera!