Chevron Left
Zurück zu Maschinelles Lernen

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

120,940 Bewertungen
29,696 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....



Jul 16, 2019

The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent


Jun 25, 2018

This course is extremely helpful and understandable for engineers and researchers in the CS field. Many thanks to the prof. Ng Yew Kwang for his great course as well as supporters in the course forum.

Filtern nach:

226 - 250 von 28,818 Bewertungen für Maschinelles Lernen

von Arno B

Nov 24, 2018

Thank you Andrew for this amazing class.

von W Z

Nov 26, 2018


von Adithya K S

Nov 26, 2018

Helped to get the overall foundation of machine learning concepts and the assignments were well framed

von Peter

Nov 26, 2018

Really excellent course on Machine Learning and Andrew Ng is a fantastic instructor. I look forward to doing more of his courses.

von Julio P F

Nov 24, 2018

Un curso muy util. Estructuralmente bien diseñado. Se aprende paso a paso y se recapitulo cada cierto tiempo para no perderla perspectiva. Muy recomendable

von Nuo

Nov 25, 2018

Great course and will continue on deep learning.

I hope to design a ML model in the future for medical diagnoses and reduce the cost of seeing doctors for patients who are not rich and cannot afford medical payment.

von DingMing

Nov 25, 2018


von Ibraheem T

Nov 26, 2018

Great course, I would recommend it to anyone who wants to learn about Machine Learning and AI.

von Edward F

Nov 26, 2018

learned a lot. fun times.

von Marcin S

Nov 24, 2018

Great course!

von Xinglong S

Nov 24, 2018

Wonderful course! Andrew is a great instructor.


Nov 25, 2018

Best tutorial for machine learning, the instructor is explaining the concepts very clearly and it is making easy to understand. The instructor is making ease and feel comfortable to understand by giving good examples.

von Alexander M

Nov 25, 2018

Thanks a lot ! This course is really great! I recieve math background for basics ML algorithms and now its are clear for me!

von 金主星

Nov 26, 2018



Nov 26, 2018

I have learned a lot of algorithms and numerical problems of Machine Learning from this course.

It is very helpful for me to do best in my project. This course has given me a way for thinking new in machine learning.

von HoangLai

Nov 24, 2018


von Sachin K

Nov 24, 2018


von Ali A

Nov 24, 2018

I recommend this course for everyone willing to master the useful Machine Learning techniques. Thank You !!

von Shyam M

Nov 25, 2018

A very good course for machine learning enthusiastics to start with. Review questions and programming exercises are well designed to help recap the concepts and how to apply machine learning concepts in real. Mentors are very much helpful in helping students in understanding concepts and completing the assignments. I would recommend this as a must do course to all machine learning enthusiastics out there.

von Morgane

Nov 26, 2018

Really good course ! Everything is very clear, it has enough maths for advanced people but still manageable for beginners.

von SW J

Nov 24, 2018

Thank you for your wonderful lecture.

It was very helpful to understand AI and apply it.

thank you.

I hope that Many others listen to this lecture and get help understand AI and apply it.

von LIU X

Nov 24, 2018


von Iri

Nov 24, 2018