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学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈

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5,340 个评分

课程概述

In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

热门审阅

AS

Jun 1, 2025

this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .

AS

Oct 9, 2024

This is a good beginner course . I have been reading around topics and when you jumble around it is hard to follow. This course structure was what i was looking for. i would recommend this to others

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451 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 475 个评论（共 839 个）

创建者 Bonheur M

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Jun 12, 2025

only one word comes from my heart: thank you

创建者 Stuti G

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Dec 20, 2024

I have learned machine learning from scratch

创建者 Sophia C

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Jun 1, 2024

Very professional! kudos to Professor Andrew

创建者 Ahmad S A

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Jul 27, 2023

It is a good course for self-paced learners.

创建者 wail a

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Nov 8, 2025

Very Well desigend and rich with knowloadge

创建者 mohamed a E

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Apr 10, 2025

very helpful, weel simplified and explained

创建者 Ahmed F E I

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Jul 20, 2024

Thanks from all my heart to Prof. Andrew NG

创建者 Lakshminarayanan

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May 21, 2023

Great introduction into the concepts of RL.

创建者 Truong D N

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Feb 13, 2025

this course is well, highly appreciate!!!!

创建者 VH11923 D M

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Sep 7, 2024

Really great i learnt a lot in this course

创建者 Soumyadweep M

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Jul 8, 2023

Please make the optional labs in Py Torch.

创建者 Douwe J H

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Sep 6, 2022

Great course, great teachers, very clear,

创建者 Muhammad S I

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Mar 31, 2024

Its a perfect course for beginners in AI.

创建者 sharjeel A

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Mar 12, 2024

I am learn a lot of things in this course

创建者 Valeriia B

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Jan 12, 2024

The best explanations ever. Enjoyed a lot

创建者 Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

创建者 Mungunshagai T

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Mar 25, 2023

Basic түвшний мэдлэгтэй болсон. Баярлалаа

创建者 Ayush K

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Oct 20, 2025

Great Lectures by Andrew, he is the GOAT

创建者 Priyanshu P

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Feb 2, 2024

Amazing course, Thank you Andrew sir🙏🙏

创建者 Ojas P

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Aug 24, 2023

Truly Exceptional, a very big Thank You!

创建者 Haya K

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Oct 28, 2022

Much better learning resources. Thanks!

创建者 Raj P

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Aug 22, 2025

good combo of both theory and practical

创建者 Aydın S

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Jul 20, 2025

It was a great course. Thanks everyone!

创建者 Matías B

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Feb 28, 2024

The learning path is very well thought!

创建者 reza j

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Jun 30, 2025

Thank you Andrew, Your are in my heart