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Avis et commentaires pour d'étudiants pour Apprentissage automatique par Université de Stanford

4.9
étoiles
126,973 évaluations
31,161 avis

À propos du cours

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....

Meilleurs avis

QP

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.

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.

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151 - 175 sur 10,000 Avis pour Apprentissage automatique

par Mohammed M

Apr 03, 2019

I learned a lot from this course, very recommended

par Yuhang T

Jan 17, 2020

thank you, I have learned a lot from this class.

par 个a

Apr 02, 2019

excellent class.worth your time and thank you ng

par Roei B

Jan 18, 2019

10/10. Andrew is an amazing teacher. Thanks!

par zhaoyi

Jan 02, 2020

Very good intro course to machine learning

par Zilin L

Jun 07, 2019

几乎没有数学要求,老少咸宜。

编程作业设计非常用心,专注于让学生完成核心人物。

好评!

par Hamed B

Jun 05, 2019

THE BEST COURSE IN ML BY FARRRRRRRR

par Bhanuprasad T

Jan 01, 2019

Loved it. Easy and Excellent Course

par Jaspinder S V

Aug 08, 2015

Awesome course for beginners.

par Mulat Y C

Feb 14, 2020

Machine Learning

Data Science

par 梁驰

Feb 08, 2020

喜欢吴恩达教授的课,讲的非常的好!教授很谦虚!赞赞赞!

par Chandan K

Jun 06, 2019

Great course to study!

par Eugene M

Jan 04, 2019

Very useful course!

par Joy F Y

Aug 07, 2015

It's very useful

par Pavel K

Jun 06, 2019

A great course.

par Hacker O

Jun 17, 2019

very good!!

par Stephen M

Jun 05, 2019

Very useful

par ylfgd

Jun 06, 2019

very good

par THIERRY L

Jan 04, 2019

Excellent

par Saiful I A

Aug 07, 2015

Very Nice

par Vivek K

Dec 13, 2018

Awsome

par Lichen N

Aug 28, 2019

深入浅出

par Jerome T

Mar 06, 2019

I like the course very much. One point where it could be improved are the assignments: it is really nice to be guided and to have a big part of the programming prepared but the drawback is that many times I didn't feel in control of what was happening. For example, that was hard to know basic features of the implementation (is this data a row vector? a column vector?) since I didn't decide it. This leads me to spend quite some time on trying to fix simple problems. In short, I wish I had felt more "empowered" during the assignments.

par Saideep G

Apr 09, 2019

Very well made, well paced. Better than majority of college courses. Some errors do pop up midway through the course that should be addressed. It can be frustrating to push through these issues sometimes but they are the only thing keeping from 5 stars.

par MAHESH Y

Apr 09, 2019

it is one of the best course for beginners in machine learning, the only thing it lacks is its python implementation. If there is the python implementation of this course then no other course is better than this one