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Maschinelles Lernen, Stanford University

4.9
(101,995 ratings)

Über diesen 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

von DW

Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

von MN

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.

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24,495 Bewertungen

von Wayne Zhang

May 19, 2019

This is a really great course. Thanks so much to Andrew

von JImmy Cheng

May 19, 2019

I‘m a Chinese post-graduate student of Computer Sciense. This class is very useful to me because of it's amazing course videos and the well-designed programming exercises. It is really lucky to have this opportunity to find the course and to finish it. This class will be a footstone for further studying in AI field for anyone who just get started.

von ZEKUN CHEN

May 19, 2019

Great class!

I learned a lot.

Highly recommended.

von CorgiPapa

May 18, 2019

课程

安排

合理

编程课程

不难

循序渐进

von Manfred Mario Armijos Legarda

May 18, 2019

Completar este curso fue una de las cosas mas increíbles que me han pasado, simplemente fantástica ha sido la experiencia de aprender este tema tan fascinante.

von Andy Wang

May 18, 2019

I just could not express my gratitude enough to professor Ng, Coursera, and all the people made this course available. I have followed some other online machine learning courses, but without the quzies and review questions, I did not get the sort of deeper understanding, knowledge and skill in debugging/evaluating/applying machine learning algorithms to real problems.

von Varun Singh

May 18, 2019

Amazing course by the brilliant Andrew Ng. Best course on the subject!!

von Jay

May 18, 2019

this course is essentially for those who actually want to know the idea of the field of machine learning in great details and Sir Andrew Ng has explained each and every topic with depth. However I feel that much of the content was theoretical based and it would be more helpful if the instructor would have taught this with applying it code and teach us the implementation also along with what all he has taught. Thank You Sir for giving me dense knowledge in the field of machine learning.

von Mudasar Ahmed

May 18, 2019

Awesomeness

von Ramakrishna

May 18, 2019

It's my privilege to get a chance to learn from best university in world.