Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI

4.9
stars
5,340 ratings

About the Course

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....

Top reviews

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.

AS

Oct 9, 2024

This is a good beginner course . I have been reading around topics and when you jumble around it is hard to follow. This course structure was what i was looking for. i would recommend this to others

Filter by:

526 - 550 of 839 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By abdelrahman a

•

Sep 6, 2023

Thanks a lot for your efforts

By Huajie C

•

Feb 13, 2023

Great course, love Andrew Ng.

By Uday S

•

Dec 7, 2025

Exceptional teaching quality

By Saatwik U

•

Aug 16, 2025

Nice and good for beginners.

By Yongli L

•

Jan 4, 2024

Absolutely love this course.

By Harsh J

•

Oct 18, 2023

best ml course in the market

By Tanu J

•

Oct 11, 2023

Specific, simple and through

By Ananda B

•

Jul 3, 2023

A lot of new topics to cover

By Peter R

•

Sep 26, 2022

I learnt so much thank you.

By Shah F M

•

Aug 21, 2025

best professor , Andrew sir

By Francesco D

•

Aug 18, 2025

Great Learning Experience !

By NarasimhaMurthy V

•

Oct 15, 2025

Great course for beginners

By Priyam G

•

Aug 11, 2025

Crazyy good learnt so much

By nithya v

•

Aug 17, 2024

Excellent course material.

By Dietmar M

•

Jul 2, 2024

Exiting course, sparks joy

By AARYAV D (

•

Sep 9, 2023

It was a very good course.

By ABHINAV K

•

Aug 7, 2023

Best course of this series

By Joy B

•

Feb 20, 2023

Excellent and informative.

By liguo z

•

Oct 8, 2025

This course is well worth

By Hamid B

•

Jul 9, 2025

I just can say Thank you.

By Howard L

•

Jan 27, 2025

good series for beginners

By Ernesto J O M

•

Jan 8, 2025

Nice content and practice

By Jayesh I

•

Aug 12, 2024

Great course for Learning

By Feroz K

•

Jul 16, 2024

a very informative course

By Srinivas K B

•

Oct 25, 2022

Nicely taught! Thank you