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

119,744 Bewertungen
29,390 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


Jul 19, 2019

Amazing course. It gets deep into the content and now I feel I know at least the basics of Machine Learning. This is definitely going to help me on my job! Thanks Andrew and the mentors of the course!

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25951 - 25975 von 28,503 Bewertungen für Maschinelles Lernen

von Aravindan I

Nov 01, 2019

This course is easily the best foundational course on Machine Learning. It builds on complex topics incrementally in a form that is easy for beginners (like me) grasp the concepts easily. It took me some time to complete the course, but it has now provided me the tools necessarily to pursue further learning on ML and build real world applications. Thank you Prof. Andrew Ng.You are a rockstar :)

von Divyam S

Nov 01, 2019

One of the best courses that has ever been there on the Coursera Platform. Mr. Andrew's teaching, examples, assignments & quizzes that are challenging & enthralling just make the course more fun to do. One of the most industry relevant courses I have ever come across.

von Abhishek C

Nov 01, 2019

Greate Course..!!

von Ronan B

Nov 01, 2019

Great course and I loved it ! Thanks a lot for this course !

von Tim W

Nov 01, 2019

Professor Ng is a real expert from inside to outside in machine learning field. Thank you very much for providing the course to us.

von Pratyush A

Nov 01, 2019

Best in the best mentor you could get for machine learning, really enjoyed a lot it would have been even better if the course would have been in python.

von Swapnil

Oct 31, 2019

This was an amazing machine learning course. It had good quality content available.

von Sebastian H

Oct 31, 2019

would have loved to have text versions of the later lectures.

otherwise great teaching

von Igor M

Oct 31, 2019

Very useful on mathematical background essentials. An effective walkthrough of key ML models and a good way to re-iterate on ML foundations for a wide range of ICT professionals working on different aspects of AI (development, product management, strategy, marketing).

von Derangala L I S

Oct 31, 2019

Detailed explanations helped me a lot

von Gabriel A A C

Oct 31, 2019

Very good

von Mario J

Nov 01, 2019

Great course, classes are correctly explained. Learned a lot.

von Mathis B

Oct 30, 2019

Thank you so much for making this course completely free!

von Frederico V A

Oct 30, 2019

Fantastic course. Its worth of your time. Thanks Professor Andrew Ng and Coursera

von Sanjay R

Oct 30, 2019

Professsor Andrew Ng is a great teacher! His explanations and

von Rudrasinh N R

Oct 31, 2019

Deep knowledge for Probability and Statistics,Data Modeling & Evaluation,Machine Learning Algorithms

von Carlos A M

Oct 31, 2019

I really enjoyed this course and I learn a lot of details related to Machine Learning. For that reason, I recommend this course for everyone who wants to learn or review this topic.


Oct 31, 2019

This course serves as the stepping point in the field of Artificial intelligence.

von Maya m

Oct 31, 2019

very nice course to learn machine learning algorithms in depth!

von Sarthak G

Oct 31, 2019

This is such a great course for beginners in Machine Learning. The course covers a lot of learning algorithms without using very complex mathematics making it easy to understand for rookies. The best part about the course were the advice Prof NG gave for building efficient models and debugging and all the other stuff in addition to the algorithms.

von Anibal G

Nov 02, 2019

This is a very interesting course, with an excellent profesor and wonderful team. The content is absolutely relevant and for sure such knowledge will make you a more comprehensive professional. Thank you professor Andrew.

von Olivier V

Oct 11, 2019

Cours très détaillé et à la fois bien expliqué, complet et couvre les principaux concepts du machine learning.

von Erich L

Oct 11, 2019

Andrew is a very good teacher. He knows what is important to learn. I do not recommend for those who have little programming experience though. It will probably take a lot of time if you are not familiar with those things.


Oct 12, 2019

It is one awesome course, where we can get in depth knowledge about techniques used in machine learning and where these techniques can be used.