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

4.9
121,038 Bewertungen
29,721 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

DW

Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

ML

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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25651 - 25675 von 28,828 Bewertungen für Maschinelles Lernen

von André S

Oct 02, 2019

This is a fantastic course. I would like to thank Andrew Ng (the best teacher I could hope for).

von Benjamin M

Oct 03, 2019

Fantastic course, thanks to Andrew and Stanford Uni for making it publicly available. I hope that the students who do this course can change the world for the better with their powerful new tools.

von 钟钰

Oct 03, 2019

The best course that I have seen

von Shusuke T

Oct 01, 2019

This course gave me a basic but wholistic understanding of machine learning. Well designed class.

von Peter D D O

Oct 01, 2019

It gave me a very good knowledge of Machine Learning and motivation to keep learning in this area.

von Nguyễn H S

Oct 01, 2019

I love it

von Shubham S

Oct 01, 2019

Great course

von Sanjoy P

Oct 01, 2019

Thank you Andrew for the great course. It has helped me a lot to get started into Machine Learning. The advice and suggestions on applying what we have learned is going to help me a lot as I progress in my profession. Thank you!

von Thuong M

Oct 01, 2019

This course walks me through many aspects of machine learning in an easy way. Thanks very much!

von Ashish P S

Oct 02, 2019

Best course to start learning about machine learning

von MANJITH K R M

Oct 02, 2019

Wonderful course excellent sessions by Mr Andrews sir. Now i got complete view of Machine learning models, problems and finally their implementation.Wonderful course.

von Fangfang C

Oct 02, 2019

Excellent and already implement what i have learned in my work

von DHARMENDRA K Y

Oct 02, 2019

best course to start with ML

von Rajat K

Oct 02, 2019

Really helpful course that enables learner to have insight on Machine Learning. Given examples complement theory very well.

von Schin J

Oct 03, 2019

Excellent course for anyone to learn ML from scratch. Andrew Ng is god of ML. Highly recommended course.

von Jayesh D

Oct 03, 2019

Seemingly difficult topics explained clearly and assignments really helped to understand what happens behind the screen. The handwriting recognition based on neural network was good experience.

Thank you!!! For such a wonderful course.

von EL H Z

Oct 03, 2019

great

von Niccolo S

Oct 03, 2019

Perfect course.

von jiujiumingming

Oct 04, 2019

课程的质量毋庸置疑,真正的手把手教学,无论是思想、算法还是具体的编程实现,都有细致入微的指导,让学习变得愉悦而轻松。

我来自浙江大学,评价这门课程,我想用一个词:抽丝剥茧。

上一次学习得如此清晰而快乐,是在浙江大学白洪欢老师的汇编语言设计基础的线下课程里,感谢coursera,让我能够收获又一个高质量的课程。

von Pramod P K

Oct 04, 2019

Excellent. Concepts are explained in a simple and easy to understand way. The course provides a deep understanding of the concepts. Liked the way Prof. Andrew Ng explained the concepts. Highly recommended course.

von Abonia S

Oct 04, 2019

Best course ever in Machine Learning:)

Thank you Andrew for your wonderful hish quality lecture .

Thank you Coursera for help students like me to get such quality courses for free

Abonia Sojasingarayar

von Ved A

Oct 04, 2019

Excellent Course! Thorough covering of Machine Learning concepts

von Kumara S V

Oct 04, 2019

Its very good course. much needed for learn mathematics behind machine learning.

von Hayden B

Oct 04, 2019

This is a great introductory course into modern machine learning concepts including linear & logistic regressions, neural networks and detection algorithms. The classes are of exceptional quality with clear, well-paced and thorough explanations by Andrew and are enjoyable to learn about. This course is well recommended for anybody looking to learn about the fascinating field of machine learning and applying the concepts in their own projects/work.