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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

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.

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 .

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701 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 725 个评论（共 864 个）

创建者 Mike M

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Sep 19, 2023

Thank you!

创建者 Gelu G

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May 9, 2023

Excelent !

创建者 Sabeur M

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Mar 15, 2023

Top Course

创建者 yuzhuobai

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Nov 27, 2022

Thank you!

创建者 پوریا ز

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Sep 16, 2022

it's great

创建者 Malik S A A

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Aug 23, 2025

Excellent

创建者 Kaushik C

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Dec 30, 2024

Excellent

创建者 Rahul N

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Nov 28, 2024

Great one

创建者 Marsha F S

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Oct 23, 2024

soo goood

创建者 Đinh N L T

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Sep 7, 2024

Awesome!!

创建者 Himanshu R

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Aug 23, 2024

very good

创建者 Thilak t

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Jul 24, 2024

excellent

创建者 João V

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May 3, 2024

THE GOAT!

创建者 raid a B

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Mar 30, 2024

Andrew <3

创建者 Carlos M M M

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Feb 15, 2024

Brilliant

创建者 Akansha y

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Oct 18, 2023

Excellent

创建者 Albert H

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Oct 3, 2023

Excellent

创建者 Muhammad T H

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Sep 26, 2023

Very Nice

创建者 Prithwijit G

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Jun 14, 2023

Excellent

创建者 Data I M

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Apr 5, 2023

very like

创建者 yugdeep p

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Mar 16, 2023

very good

创建者 parade

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Dec 21, 2022

wonderful

创建者 Swastik R

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Jan 7, 2026

Yee-Haw!

创建者 Nam A S Đ T

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Apr 2, 2025

nice one

创建者 Prachet P

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Sep 21, 2024

Worthy!!