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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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5,489 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

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.

HA

Sep 25, 2022

T​he content was details, explained thoroughly and understandable. But, when it came to implementation, few more labs similar to the structure of previous course could have improved it more.

筛选依据：

651 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 675 个评论（共 864 个）

创建者 Anne P

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Sep 29, 2022

Super didatic!!

创建者 Sandeep M

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Aug 25, 2022

Awesome course.

创建者 Jan S

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Aug 8, 2022

Best out there!

创建者 Alexander M

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Nov 28, 2025

wow, excellent

创建者 Shivam B

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Oct 13, 2025

goated teacher

创建者 Valentino F

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Jul 29, 2025

I love Andrew!

创建者 Raj P

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Mar 29, 2025

Awesome course

创建者 Dimas F

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Feb 11, 2025

mesmerizing me

创建者 Karim R

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Feb 4, 2025

AMAZING COURSE

创建者 Luis G L

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Jan 3, 2025

good course :)

创建者 Francisco J M S

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Dec 26, 2024

Gracias Andrew

创建者 Ali Q

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Dec 14, 2024

Magnificently!

创建者 Manish C R

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Aug 15, 2024

love andrew ng

创建者 Shohin A

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May 31, 2024

Amazing course

创建者 Arkadiusz J

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Mar 5, 2024

Thank you ! :)

创建者 Ni K P S

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Oct 16, 2023

Awesome class!

创建者 BIBHUTI B B

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Jul 15, 2023

Superb Course.

创建者 Dr. M S

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Aug 19, 2022

Simply awesome

创建者 Sixto M

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Nov 15, 2025

Muy excelente

创建者 Alex T

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Mar 19, 2025

great course!

创建者 Ennouamane K

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Oct 1, 2024

Great course.

创建者 Zaid S

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Aug 20, 2024

very goood!!!

创建者 Sabeur M

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Dec 20, 2023

Great courses

创建者 Daniel C

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Oct 10, 2023

Very good n.n

创建者 Guntur P B K

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Sep 20, 2023

Understanding