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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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5,496 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

AM

Mar 10, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

HZ

Jul 21, 2024

Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

筛选依据：

526 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 550 个评论（共 864 个）

创建者 Minh D V

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Jan 19, 2023

Very informative and well-paced

创建者 nicolas b

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Jan 20, 2026

solid course. Very recommended

创建者 Mati V

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Nov 3, 2024

Nothing more than exceptional!

创建者 Subodha G

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Nov 26, 2023

Highly recommend for beginners

创建者 Nguyen H

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Apr 6, 2023

Great course and great teacher

创建者 Rishi D

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Nov 23, 2022

Thank you Prof Andrew & team!!

创建者 Ankit P

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Aug 28, 2022

This course is just fantastic.

创建者 Sewasew T

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Feb 1, 2025

i just want to say THANK YOU!

创建者 AKULA P R

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Oct 22, 2024

very good learning experience

创建者 Crhis

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Jul 17, 2024

This is just perfect teaching

创建者 Ali A

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Jan 26, 2024

Best course i ever take in ML

创建者 David R

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Oct 7, 2023

Andrew is a wonderful teacher

创建者 abdelrahman a

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Sep 6, 2023

Thanks a lot for your efforts

创建者 Huajie C

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Feb 13, 2023

Great course, love Andrew Ng.

创建者 Uday S

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Dec 7, 2025

Exceptional teaching quality

创建者 Saatwik U

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Aug 16, 2025

Nice and good for beginners.

创建者 Yongli L

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Jan 4, 2024

Absolutely love this course.

创建者 Harsh J

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Oct 18, 2023

best ml course in the market

创建者 Tanu J

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Oct 11, 2023

Specific, simple and through

创建者 Ananda B

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Jul 3, 2023

A lot of new topics to cover

创建者 Peter R

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Sep 26, 2022

I learnt so much thank you.

创建者 Shah F M

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Aug 21, 2025

best professor , Andrew sir

创建者 Francesco D

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Aug 18, 2025

Great Learning Experience !

创建者 NarasimhaMurthy V

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Oct 15, 2025

Great course for beginners

创建者 Priyam G

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Aug 11, 2025

Crazyy good learnt so much