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

119,101 Bewertungen
29,245 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....



Nov 11, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.


Jun 15, 2016

Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist.

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25726 - 25750 von 28,357 Bewertungen für Maschinelles Lernen

von Yaswanth M

Oct 10, 2019

Excellent teaching. It is very helpful for me by learning Machine learning with Math.

von Nabil M A

Oct 10, 2019

A long journey indeed, very immersive and i feel very confident!

von Rahul m

Oct 11, 2019

Osm tutorial every thing is explained in details

von Owe J

Oct 11, 2019

I don't regret a single minute spent on this class. It is almost sad that I have passed it, but fortunately there are more Courses to go.

von Yang L

Oct 11, 2019

Andrew Ng is the best lecturer ever

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 Leandro

Oct 11, 2019

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

von Mohamed G

Oct 11, 2019

Thanks prof Andrew . Thanks Coursera .

von Shankar B

Oct 11, 2019

Ng is an incredible teacher. This is such a wonderful course.

von tsubasa

Oct 12, 2019


von 施钧亨

Oct 12, 2019

best course in machine learning!

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 Emmanuel B

Oct 12, 2019

In depth comprehension not only of all aspects of machine learning, but also a comprehensive yet not over tedious of the mechanisms involved, as well as practical advice on how to implement and apply the various algorithms. Certainly a must-learn for anyone willing to engage in that fascinating field!

von Mohamed I

Oct 12, 2019

It is very useful to learn machine learning!

Thanks for the opportunity

von Kanir P

Oct 12, 2019

Really loved the course. Highly recommend it.

von Oscar G G

Oct 13, 2019

Excellent introduction to the topic.

von S l s p

Oct 13, 2019

it is a great course to learn in this generation,it is a good platform to learn so many things .i am so delighted that i have completed my favourte course in coursera

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 Ian V

Oct 13, 2019

Great course. Material well presented and relevant to real world problems.

von Sagar N

Oct 12, 2019

Best understanding on every concept & calculations. Very useful to take best understanding in machine learning.

von Sai K A

Oct 12, 2019

Perfect for beginners

von 이무현

Oct 12, 2019

I have never done coding before this lecture. I learned the fun of coding and gained confidence.

Most importantly I got a lot of interesting to machine-learning and I'll do more study about it.

My major is financial engineering, so I'd like to combine it with machine-learning.

Thank you Andrew Ng

von Ali H K P

Oct 12, 2019

Explain Complex ideas in simple ways.