Name: Unsupervised Learning, Recommenders, Reinforcement Learning
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (876 reviews)

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学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈

4.9

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5,563 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....

526 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 550 个评论（共 876 个）

创建者 Justin H

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Mar 11, 2023

Andrew Ng. Enuff said. 👍👍👍

创建者 Joshua M

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May 29, 2025

Great Course. Sign up. Learn.

创建者 Jorge A N

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Nov 16, 2024

Exceptional course. Very clear.

创建者 G L

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May 4, 2024

I enjoyed taking this course :)

创建者 Rolando R Z C

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Apr 25, 2024

Very carefully designed course.

创建者 Mirro S

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Feb 23, 2024

nothing but absolutely AMAZING!

创建者 Arjun V

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Dec 23, 2023

Learn many things, Thanks a lot

创建者 Muhammad F R

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May 29, 2023

This course was really helpful.

创建者 Minh D V

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Jan 19, 2023

Very informative and well-paced

创建者 Tien D

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Mar 25, 2026

crytal clear and easy to grasp

创建者 nicolas b

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Jan 20, 2026

solid course. Very recommended

创建者 Mati V

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Nov 3, 2024

Nothing more than exceptional!

创建者 Subodha G

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Nov 26, 2023

Highly recommend for beginners

创建者 Nguyen H

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Apr 6, 2023

Great course and great teacher

创建者 Rishi D

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Nov 23, 2022

Thank you Prof Andrew & team!!

创建者 Ankit P

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Aug 28, 2022

This course is just fantastic.

创建者 Sewasew T

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Feb 1, 2025

i just want to say THANK YOU!

创建者 AKULA P R

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Oct 22, 2024

very good learning experience

创建者 Crhis

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Jul 17, 2024

This is just perfect teaching

创建者 Ali A

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Jan 26, 2024

Best course i ever take in ML

创建者 David R

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Oct 7, 2023

Andrew is a wonderful teacher

创建者 abdelrahman a

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Sep 6, 2023

Thanks a lot for your efforts

创建者 Huajie C

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Feb 13, 2023

Great course, love Andrew Ng.

创建者 Uday S

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Dec 7, 2025

Exceptional teaching quality

创建者 Saatwik U

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Aug 16, 2025

Nice and good for beginners.

学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈

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526 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 550 个评论（共 876 个）