Chevron Left
Вернуться к Машинное обучение

Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

4.9
звезд
Оценки: 129,054
Рецензии: 31,817

О курсе

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....

Лучшие рецензии

SB

Sep 27, 2018

One of the best course at Coursera, the content are very well versed, assignments and quiz are quite challenging and good, Andrew is one of the best guide we could have in our side.\n\nThanks Coursera

AQ

Mar 03, 2018

An amazing skills of teaching and very well structured course for people start to learn to the machine learning. The assignments are very good for understanding the practical side of machine learning.

Фильтр по:

151–175 из 10,000 отзывов о курсе Машинное обучение

автор: Donny I

Dec 15, 2019

very usefull to study the fundamental of machine learning

автор: Dhruva

Jan 02, 2020

A exceptionally great course for beginners in the field.

автор: Sasker G

Jun 05, 2019

Great course to understand how machine learning works!

автор: Mohammed M

Apr 03, 2019

I learned a lot from this course, very recommended

автор: Yuhang T

Jan 17, 2020

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

автор: 个a

Apr 02, 2019

excellent class.worth your time and thank you ng

автор: Roei B

Jan 18, 2019

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

автор: zhaoyi

Jan 02, 2020

Very good intro course to machine learning

автор: 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!

автор: Hamed B

Jun 05, 2019

THE BEST COURSE IN ML BY FARRRRRRRR

автор: Bhanuprasad T

Jan 01, 2019

Loved it. Easy and Excellent Course

автор: Jaspinder S V

Aug 08, 2015

Awesome course for beginners.

автор: Mulat Y C

Feb 14, 2020

Machine Learning

Data Science

автор: 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!

автор: Chandan K

Jun 06, 2019

Great course to study!

автор: Eugene M

Jan 04, 2019

Very useful course!

автор: Joy F Y

Aug 07, 2015

It's very useful

автор: Pavel K

Jun 06, 2019

A great course.

автор: Hacker O

Jun 17, 2019

very good!!

автор: Stephen M

Jun 05, 2019

Very useful

автор: ylfgd

Jun 06, 2019

very good

автор: THIERRY L

Jan 04, 2019

Excellent

автор: Saiful I A

Aug 07, 2015

Very Nice

автор: Vivek K

Dec 13, 2018

Awsome

автор: Lichen N

Aug 28, 2019

深入浅出