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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：

601 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 625 个评论（共 864 个）

创建者 Dr. R K G

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Jul 13, 2023

Very well Executed.

创建者 Xiaokun Z

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Feb 18, 2023

Excellent teaching!

创建者 Ajay S P

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Aug 13, 2024

love you Andrew Ng

创建者 Nelson M

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Jun 17, 2024

excellent! superb!

创建者 Akkilesh K

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Jun 15, 2024

Best in the Market

创建者 Safa E

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May 8, 2024

highly recommended

创建者 Sarfaraz A K

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Feb 5, 2024

outstanding course

创建者 Utpoul K M

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Dec 6, 2023

Simply the best!!!

创建者 Afdoni P S

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Apr 11, 2023

yoyoyoyoyo kerenss

创建者 Jatin k

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Jan 28, 2023

Amazing Content!!!

创建者 Jaedong S

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Sep 22, 2022

Excellent course!

创建者 David G

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Sep 4, 2022

more of it please.

创建者 Jaskirat S

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Jun 22, 2025

Awesome course !!

创建者 PANKAJ A

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Jul 2, 2024

Just excellent!!!

创建者 jason l

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Sep 12, 2023

Wonderful Course!

创建者 Carel T

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Mar 21, 2023

Excellent! Thanks

创建者 Eric H

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Dec 1, 2022

I love Andrew Ng!

创建者 Ankan S

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Oct 19, 2022

Very nice course

创建者 Valentin R

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Aug 22, 2022

Excellent course!

创建者 马镓浚

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Aug 17, 2022

Excellent course!

创建者 Mohammed O A

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Jan 18, 2026

amazing good one

创建者 Ravi K

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Jan 6, 2026

Very Nice Course

创建者 Muhammad S

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Oct 8, 2025

excellent course

创建者 Abdellatif A

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Sep 9, 2025

very nice course

创建者 krushna t

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Apr 11, 2025

its fkn op as fk