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

116,957 Bewertungen
28,701 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....



May 17, 2019

This is course just awesome. You get everything you wanted from this course. It covers on all topics in detail, helps in getting confidence in learning all the techiques and ideas in machine learning.


Oct 03, 2016

Everything is great about this course. Dr. Ng dumbs is it down with the complex math involved. He explained everything clearly, slowly and softly. Now I can say I know something about Machine Learning

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25801 - 25825 von 27,879 Bewertungen für Maschinelles Lernen


Oct 16, 2019

very nice teacher and the content.

von Kun G

Oct 16, 2019

Andrew's teaching is just wonderful! This is the best class I can ever find for general machine learning

von Werikson d S R

Oct 16, 2019


von Ashish A

Oct 16, 2019

It was very good.I got to know new things.

von J A G

Oct 16, 2019

It's a great course, hard but great!! If you wanted to learn new technologies like this, this course is for you!

Thank you Andrew NG, I'm your fan!!

von wangyang

Oct 17, 2019

This is a great course for introduction to machine learning.

von Haoran T

Oct 18, 2019

A very good course for entry level of machine learning. The course focuses more on the algorithm, which helps me a lot in interview.

von evsakthi

Oct 18, 2019

Excellent class Andrew. Understood the concepts in a nice and well narrated sessions. Thank you.

von Mohammed A

Oct 18, 2019

High quality content

von Tejaswini

Oct 18, 2019

Great Experience

von Andrius V

Oct 16, 2019

Great course to get you up to speed in machine learning!

von Hendryk T W

Oct 16, 2019

The course has been a great overview about machine learning problems and algorithms. It also covers further details like advantages/disadvantages of certain techniques or ways to handle performance analysis and optimisations. Most explanations can be understood easily. Both videos (with visualisations) and texts are given to present the content (in the end there are less summaries).

The programming exercises are very helpful, as one can see the algorithms work and really needs to understand all the ideas to implement them correctly. There are also lots of little tests which ensure one does pay attention to the lectures.

Unfortunately there are some minor mistakes in the materials, which may be confusing until one looks for the issue on the forum (there are lists with the errata).

von Jojo A

Oct 17, 2019

Andrew Ng's Machine Learning 12-week course is a good rigorous one that covers the broad range of tools. He teaches in an easy to understand, respectful, encouraging, yet deeply foundational. The course is well made, quizzes make you study and take notes while listening to the videos, the programming exercises help illustrate in "hands-on" terms without paralyzing you with frustration. It is a good foundation for the Deep Learning Specialization also from; also well made, taught in the same way.

von sourabh

Oct 17, 2019

This course was the best course i have ever seen on the Machine Learning Field.It is explained in so simplified way that anybody naive for the field can understand the intuition behind so easily.The core mathematical concepts which lead to the development and rise of Machine learning and which are so natural and therefore easy to understand are explained first and then they are expanded so that we learn the whole thing from its base to the real-world usage.I would really like to thank Andrew Ng for creating the course and teaching so keenly so that everybody can understand and become more passionate about the field.Thanks!

von mukarram A

Oct 17, 2019

Everything is great about the course. AndrewNG expalained Everything Clearly and slowly with good Examples.Really Overwhelmed by his Teaching Stratery...

von Yafeng C

Oct 17, 2019

Excellent learning materials for machine learning with great hands-on projects.

von Vaibhav J

Oct 18, 2019

Thanks Andrew to design such a wonderful course

von 藤枝 龍

Oct 18, 2019

pretty good


Oct 18, 2019

Highly recommended.

Suitable beginners.

Very usefull.

von Tinalai D

Oct 18, 2019

Great course, it is really helpful on my career.

von 王晟华

Oct 16, 2019

very good

von Norm J

Oct 16, 2019

Outstanding course. Highly recommended.

von Mohan K

Oct 16, 2019

it was a great learning experience

von Mayur G

Oct 17, 2019

Thank You. I have learned much from this course. Now I am much confident about mathematics angle of machine learning algorithms with how to resolve issues related of them.

von Yuksel C

Oct 17, 2019

I think my math wasn't so enough for the course, but it changed my perspective. Thanks