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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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5,340 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 .

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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601 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 625 个评论（共 839 个）

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 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

创建者 Ahmed M

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Jan 30, 2025

best of the best

创建者 Muhammad A A

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Jan 19, 2025

excellent course

创建者 Mohan S Y

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Dec 16, 2024

very good course

创建者 Deleted A

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Nov 7, 2024

Very good course

创建者 hana S

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Sep 14, 2024

Thank you Andrew

创建者 Anvesha C

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Jun 15, 2024

very informative

创建者 Buhari N

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Mar 29, 2024

Excellent Course

创建者 Harold H

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Feb 24, 2024

brilliant course

创建者 danial

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Feb 14, 2024

Best course ever

创建者 bounphet t

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Apr 15, 2023

very good course

创建者 Lokesh J

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Mar 29, 2023

Excellent course

创建者 Ben Z

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Aug 21, 2022

Excellent Course

创建者 Oran

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Oct 19, 2025

It was perfect.

创建者 Cauê D

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Jun 12, 2025

Amazing course!

创建者 Nitish

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Feb 19, 2025

Good experience

创建者 Renan d B L

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Jun 28, 2024

Amazing course!