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Bewertung und Feedback des Lernenden für Maschinelles Lernen von Stanford University

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166,828 Bewertungen
42,707 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

WZ
2. Apr. 2018

Very nice course,. Give a fundamental knowledge of machine learning in a clear, logic and easy-to-understand way. Suitable for those who has relatively weak background of math and statistics to learn.

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 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 Kumar N

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

4. Aug. 2021

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!

von Zihao Z

10. Feb. 2020

8个exercise出的非常好,程序中给的note和hint有助于理解计算过程、加深记忆。

吴恩达老师英语很有亲和力,对于我这样的英语听力一般的人来说非常友好

von Phani M

25. Mai 2020

It would be great if the assignments would be in python rather than octave.

von Mohammed R

7. Aug. 2015

the audio is sometimes noisy, but everything else is perfect, thanks a lot

von Gabriel M

2. Okt. 2018

Great!, this was my first aproach to machine learning and I learned a lot

von 王奇

6. Aug. 2015

吴恩达老师的这门课帮助无数学生了解了什么是机器学习,虽然有时候作业会很没有头绪但是通过努力研究一般都能做出来,而且满满的成就感。。感谢andrew

von Mattias J

24. Apr. 2020

A great course to start your journey into the machine learning universe.

von Shrey S

3. Juni 2020

Terrific introduction course and taught in a very engaging manner!