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

119,262 Bewertungen
29,280 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....



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.


Oct 15, 2016

It's a good introduction - not too complicated and covers a wide range of topics. The programming exercises are well put together and significantly help understanding. The free Matlab license is nice.

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25926 - 25950 von 28,386 Bewertungen für Maschinelles Lernen

von Dan C

Oct 19, 2019

Awesome course! Great Videos! Really thought the programming assignments were beneficial.

von 邢坤

Oct 19, 2019

it's a pretty cool course to enter the world of machine learning!


Oct 19, 2019

It is an absolutely delight to go through the course. This has been designed in such lucid way that anyone can develop and interest to delve further into the subject matter. I loved completing the course and happy that I made a right decision to invest my time and money into this. Thanks to Andrew Ng and his team for the course product. Also thanks to my friends who suggested me ML course on Coursera.

von Rajesh M R

Oct 19, 2019

Extremely useful course. It covers basic concepts of machine learning with some useful hands-on exercises. It also have very good advice on how to build a practical machine learning system.

Thanks Andrew for the well curated and intelligible course.

von Gil M

Oct 19, 2019

Very useful, easy to follow, well explained and practical.

von Raushan K

Oct 19, 2019

Best course for Beginner.

von 白文江

Oct 20, 2019


von Xuejun Y

Oct 21, 2019

This is an amazing entry-level machine learning course taught by Andrew Ng. It's my very first online class and I absolute loved it.

von Jaswanth M

Oct 21, 2019

Very good introductory course...perfect balance between math and application...

von Matthew S

Oct 18, 2019

The course material is very interesting, and the instructor is outstanding. I would recommend this course to anyone interested in machine learning.

von Tanay M

Oct 20, 2019

Literally the best course on Machine Learning you can find on the internet. Extremely helpful, relevant and beginner-friendly.

von Sowmya J I

Oct 20, 2019

An absolutely insightful approach to learning. With mind boggling assignments, it was a delightful learning process.

von Brian D

Oct 20, 2019

Thank you for taking the time to create this (FREE!?!!@??-still can't get over it!) course. I didn't think I'd have the skills to understand the theory (especially the math) behind machine-learning but your simple explanations and visual examples really helped. The labs were fun and built up in a logical manner so I didn't get overwhelmed with material. I plan on supporting/recommending Coursera in the future.

von Dimitar T

Oct 20, 2019

Andrew Ng is an amazing teacher. He not only explains the concepts and the math behind it, but does so in an intuitive and easy-to-follow manner. This is a perfect course for anyone wanting to see what ML is all about.

von Laure B

Oct 21, 2019

Le cours est très bien fait, Les exercices de programmation sont très utiles pour soli

von Tianlai D

Oct 18, 2019

Great course, it is really helpful on my career.

von Sanjay M

Oct 19, 2019

Comprehensive content to cover concepts of Machine Learning

von Shivansh J

Oct 20, 2019

Thank You for the great course on Machine Learning, really helpful in teaching the basics to advance of ML algorithms, objective and use of Machine Learning and also to how to apply them in real world applications.

von cristian m r e

Oct 21, 2019

Loved It, learned quite a lot

von shantesh K

Oct 21, 2019

great course for understanding of machine learning basics

von Swaroop K

Oct 21, 2019

nice explanation

von Meghna S

Oct 21, 2019

very helping and resourceful! i gained an extensive knowledge of the subject while completing the course and it has helped me understand the various concepts in a much easier way!

von Daniel P R

Oct 21, 2019

One of the best courses I've ver taken. Professor Ng is a great man.

von Ashwin K

Oct 20, 2019

I feel this is the first course anybody should take to get a solid understanding of what machine learning really is all about. I am not sure how old these lecture videos are but in 2019 they still seem to cover all the bases about machine learning. The pace of delivery is just right and very easy.

von Hichem Z

Oct 20, 2019

I love it so far, had some difficulties at the beginning then after reading the notes and lectures everything becomes clearer.