Chevron Left
Zurück zu Maschinelles Lernen

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

4.9
119,800 Bewertungen
29,407 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

EJ

Mar 27, 2018

Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.

RK

Aug 20, 2019

It is the best online course for any person wanna learn machine learning. Andrew sir teaches very well. His pace is very good. The insights which you will get in this course turns out to be wonderful.

Filtern nach:

25801 - 25825 von 28,528 Bewertungen für Maschinelles Lernen

von Thiago H S S

Oct 28, 2019

One of the best Machine Learning introductory courses available which will give you the necessary foundation to start your first projects. The classes are very well designed and the progression through the concepts and techniques feels natural. Andrew Ng explains difficult topics in such a understanble way that you will hardly feel lost throughout this course, he is a great teacher. Overall this course helped me to kickstart career into ML and I strongly recommend it for aspiring data scientists and ML engineers.

von Paul C

Oct 28, 2019

Prof. Andrew Ng is a truly gifted educator! His ability to simplify complex concepts helped me gain an in-depth understanding of the more challenging aspects of machine learning. Thank you Prof. Ng!

von Sarath L

Oct 29, 2019

Excellent and awesome ,if are interested in ML... you have to have this course completed.I recommend for anyone who are interested in ML.

von Mainak B

Oct 29, 2019

Thank you Sir for the wonderful course. The concepts were taught in such a way (using geometry and mathematics) that helped me generate an intuition about the concepts. The course had wonderful quizzes and the programming exercises were really great. The programming exercise will help any learner think more deeply and get the experience of how to implement the algorithms.

Thank you so much Prof. Andrew!!

von David

Oct 29, 2019

Awesome course. Awesome syllabus. Awesome teacher. Thank you very much Andrew Ng.

von Buri

Oct 11, 2019

Great Course! Excellent study materials. I can only imagine the efforts rhat went into creating this course.

Thanks a ton :)

von Dmitry M

Oct 11, 2019

<3

von Yue H

Oct 11, 2019

Thank you, I enjoyed it quite a lot and now possess the fundamentals to tackle more ML and DL related topics!

von tsubasa

Oct 12, 2019

沢山のビデオを通して機械学習の様々な知識を得ることが出来、また実際にプログラムを書き動かすことでより理解を深めることが出来ました。私はあまり英語が得意ではなく特に試験の際に苦労をしましたが、それでも時間をかけて学ぶ意味のある講義だったと思います。この講義で得たことを今後の人生に生かしていきたいと思います。

von Wujiduan

Oct 13, 2019

Even if with simple examples, Ng Wu can tell us what's the really important problems in machine learning and gives a great big picture of this field!

von sharath

Oct 13, 2019

The first course that I took in machine learning. Gave a better understanding of the basics. Overall the best course to start with machine learning. And Andrew is phenomenal in making us understand the complex topics in simple words. Thanks for coursera for making this course free!!

von Gunjan G

Oct 14, 2019

I personally love this course and I am very much thankful that I got opportunity to enroll for this course so that I was able to learn so many algorithms and it all will be very helpful for my final year project .

von ARUMUGAM M M

Oct 14, 2019

Clear Explanation of each and every concepts! Thank you Coursera and Andrew NG

von Leandro

Oct 11, 2019

Supper happy with this training. It's not boring and I am learning a lot!

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.

von Chaojun L

Oct 12, 2019

Great and classic to learn basic concept and application of ML!

von Sai K A

Oct 12, 2019

Perfect for beginners

von Serdar V

Oct 12, 2019

A great introductory class that explains machine learning system fundamentals.

von 黃俊翔

Oct 12, 2019

the class material is easy to understand.

The homework program is very challenging for me but useful for me

von Alejandro M

Oct 12, 2019

Excelente curso

von Sushil A

Oct 13, 2019

It was definitely a time consuming course, but like building blocks, the topics that we learned in week 1 are used in week 8 assignment. So watching the videos and taking notes along with the videos is a must to keep up with the course. The in depth but amazing explanation of the topics, makes it so easy to take notes and follow along. Any points that seem doubtful as you watch the video is instantly clarified by the instructor. Thus the instructor really does teach very clearly and explanations in very confusing parts are clarified properly.

von Dirk U W

Oct 13, 2019

Excellent matieral

von jupiterboy

Oct 14, 2019

非常好的入门课程!

von Sachini M C

Oct 14, 2019

A great course. I've learned machine learning well.

von Andres V

Oct 14, 2019

What a superb course. The Andrew's way of teaching is very clear. Thanks for it great opportunity.