Chevron Left
Zurück zu Maschinelles Lernen

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

4.9
119,666 Bewertungen
29,376 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.

MN

Oct 31, 2017

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

Filtern nach:

25701 - 25725 von 28,486 Bewertungen für Maschinelles Lernen

von Alejandro M J

Oct 06, 2019

The best course I have taken online to this day.

von Mohammad H R

Oct 07, 2019

Thanks to Prof. Ng!

von Nguyễn T A

Oct 07, 2019

good

von Ethan T

Oct 07, 2019

Great course for learning the fundamentals, and for providing a broad overview of the main topics in Machine Learning. The course has 8 assignments which touch briefly on how to actually implement the algorithms. The course serves its purpose and segues well into higher-level, and application-focused courses. MATLAB was very easy to use (especially if you already familiar with the syntax) and it shouldn't be too difficult to transition to Python.

von anuj j

Oct 05, 2019

This course is well curated. Right amount and kind of information given in the most appropriate manner. In the last lecture, Andrew thanked to take up and finish this course, but the course itself made me hinged to it till the end. Also, THANK YOU Andrew for creating this course.

von Roland C

Oct 05, 2019

Excellent program! Andrew did a great job to explain the mainstream ML algorithm and give a good intuition of what they do. Highly recommended!

von Zengli X

Oct 05, 2019

Awesome couse. I have learned a lot of useful advice on the programming of machine learning algorithms. And a complete map of the ml knowledge is accomplished. It's a beginning for me to get into machine learning , although I may have know some of the algorithms.

von 邓凯

Oct 05, 2019

very impressive course, Dr. Ng teach very well

von Rashomonk

Oct 05, 2019

This course is one of the most impressive classes I have ever taken. I really learn a lot. Thank you so much for your team efforts.

von Dmitrii D

Oct 05, 2019

It is really cool course to get familiar with machine learning. However introduction to neural network lesson probably requires more time to understand the idea. If you take this course just to repeat something that you have already known, It is perfectly fit the purpose.

von Ajay B

Oct 05, 2019

it was a fantastic course. Although I work in corporate now and it is not directly related to my field. I decided to take this class up. I was not sure if I would finish this, but Andrew ensured that I move one video at a time. I was rusty with coding, but the simplicity of teaching enabled me to complete the programming assignments as well. Thanks Andrew. Next course - AI specialization (Hopefully)

von Bezawada V

Oct 06, 2019

Excellent stuff sir and glad to be one of your student !!!!

von Yoongu C

Oct 06, 2019

Only one the Machine learning education in the world. There are included deeply and wisely contents for an understanding of Machine learning fundamental information.

Thanks for Stanford and Andrew NG.

von Sinjo P A

Oct 06, 2019

This has been a fantastic time learning Machine Learning . I have gained verygood understanding of major machine learning algorithms, usecases and how to implement / optimize them. Thanks to Andrew NG for putting such a course and looking forward to meet you someday. Also thanks to all the moderators for helping out. All the best to the participants.

von Ramesh K

Oct 06, 2019

I am taking it as my first step towards ml, so far so good.

von hariniwas

Oct 07, 2019

This is an exceptional course to start and have a thorough understanding of Machine Learning.

von Sergey

Oct 06, 2019

Coursera's undying classics. While not covering the most recent trends in AI the course provides a solid foundation for further development.

von Filip M

Oct 06, 2019

Great course! Teaches you how to apply algorithms and forces you to think on your own. Andrew Ng is a great teacher.

von Ferdi A

Oct 06, 2019

Thanks to Mr. Andrew for sharing all information and knowledge to whom cannot have an education on such level. Personally, in Turkey you can not gain such experience no matter how successful or how rich you are.

von Julien F

Oct 06, 2019

Very interesting course, theoretical and very practical. thanks

von Patricio G P

Oct 06, 2019

Excelente!

von Daniel G L R

Oct 06, 2019

Excelente curso. Una buena introducción a AI y Machine Learning. Se requiere un buen conocimiento de álgebra matricial y principios de programación, de lo contrario puede ser de mucha dificultad o muy tedioso. Fuera de eso, la información y el aprendizaje es muy bueno.

von Pranav A

Oct 07, 2019

Professor Ng goes in great detail about the concepts behind machine learning and explains them very concisely and clearly. I learned a lot about different learning algorithms. High level of linear algebra knowledge is not that necessary. I would highly highly recommend this course to anyone interested in machine learning and AI. Thank you to Professor Ng!

von Ashish G

Oct 07, 2019

Excellent video lectures.... By far the best...... Completed my first week easily

von Alexander J

Oct 08, 2019

Great course for an introduction to machine learning!