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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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651 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 675 个评论（共 839 个）

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

创建者 Mohamed E m

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Aug 7, 2023

greet teacher

创建者 Omar A

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Mar 30, 2023

Thanks Andrew

创建者 Fitrah S

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Mar 24, 2023

thank you too

创建者 Sam T

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Feb 25, 2023

Easy and Fun!

创建者 Joshua A

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Dec 24, 2022

Praise God!!!

创建者 Gerd D B

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Oct 25, 2022

Awesome guys!

创建者 周良骥

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Aug 8, 2022

Great course!

创建者 THIERNO D

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Oct 10, 2025

Great course

创建者 Ishan__Subedi

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Jul 23, 2025

great course

创建者 Timileyin D

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May 10, 2025

Excellent!!!

创建者 Sbitnev M

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Nov 7, 2024

Best courses

创建者 李文煜

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Sep 10, 2024

Great course

创建者 Kareem M

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Jul 14, 2024

Thanks a lot

创建者 fateme s

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Feb 20, 2024

it was great

创建者 Karthik N

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Oct 16, 2023

Great course

创建者 richard b

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May 20, 2023

great course