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Вернуться к Машинное обучение

Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

4.9
звезд
Оценки: 160,624
•
Рецензии: 41,154

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

AA
10 нояб. 2017 г.

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.

SC
10 июля 2020 г.

One of the best online courses I have attended in a decade. Thank you to Coursera for making this course available. I cannot express my gratitude enough to professor Andrew Ng for this awesome course!

Фильтр по:

251–275 из 10,000 отзывов о курсе Машинное обучение

автор: Shrey S

•
3 июня 2020 г.

Terrific introduction course and taught in a very engaging manner!

автор: Sahibjot S

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14 мар. 2021 г.

Excellent course !! Way of teaching of Sir Andrew Ng is superb.

автор: Mrinal G

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17 янв. 2020 г.

Best Online Machine Learning Course available. Excellent tutor.

автор: carol

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3 авг. 2020 г.

吴老师的机器学习讲的非常好，浅显易懂，

理论与实践相结合，易于掌握各个知识点。

谢谢吴老师精彩的讲解。

期待学习吴老师的其他课程！

автор: zhiyiwang

•
15 сент. 2019 г.

Very understandable and straightforward class for beginners.

автор: Donny I

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15 дек. 2019 г.

very usefull to study the fundamental of machine learning

автор: Dhruva

•
2 янв. 2020 г.

A exceptionally great course for beginners in the field.

автор: Maurya R

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3 июня 2020 г.

It is a very good course for Beginners. It's worth it!

автор: Sasker G

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5 июня 2019 г.

Great course to understand how machine learning works!

автор: Mohammed M

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3 апр. 2019 г.

I learned a lot from this course, very recommended

автор: Yuhang T

•
17 янв. 2020 г.

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

автор: 个a

•
2 апр. 2019 г.

excellent class.worth your time and thank you ng

автор: Roei B

•
17 янв. 2019 г.

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

автор: zhaoyi

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2 янв. 2020 г.

Very good intro course to machine learning

автор: Zilin L

•
7 июня 2019 г.

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

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5 июня 2019 г.

THE BEST COURSE IN ML BY FARRRRRRRR

автор: Bhanu p T

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1 янв. 2019 г.

Loved it. Easy and Excellent Course

автор: Luu V L

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5 авг. 2020 г.

best ML course in the world !!

автор: Jaspinder S V

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8 авг. 2015 г.

Awesome course for beginners.

автор: Mulat Y C

•
14 февр. 2020 г.

Machine Learning

Data Science

автор: Mewada A J

•
5 авг. 2020 г.

best experience of learning

автор: 梁驰

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8 февр. 2020 г.

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

•
6 июня 2019 г.

Great course to study!

автор: Eugene M

•
4 янв. 2019 г.

Very useful course!

автор: Joy F Y

•
7 авг. 2015 г.

It's very useful

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