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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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5,230 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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601 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 625 个评论（共 806 个）

创建者 Jose C

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Apr 3, 2024

Excelent course

创建者 Roman M

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Mar 6, 2024

Highly valuable

创建者 Syed A M

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Feb 5, 2024

Amazing course!

创建者 khashayar m

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Jan 26, 2024

Greattttttt!!!!

创建者 ali o

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Oct 25, 2023

beautiful cours

创建者 Dr_stoned_420

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Aug 12, 2023

Fabulous course

创建者 Abhay K

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Feb 13, 2023

Amazing course.

创建者 Rishi M

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Jan 31, 2023

Great Course!!!

创建者 Francis K

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Oct 1, 2022

very educative

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 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