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Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
5,321 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

MK

Apr 30, 2023

So much time to spend, so much math to understand, but it's really fun to gain knowledge from this course especially machine learning intuition for me who had passion on that. Thankyou!

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 .

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476 - 500 of 833 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By JUAN P P A

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Sep 9, 2023

Excellent content with the best mentor

By Data i n B

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Jul 8, 2023

The best machine learning program ever

By April 3

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Feb 22, 2023

Great course on reinforcement learning

By Bishal G

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Oct 27, 2025

A must for machine learning learners!

By Yakov K

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May 22, 2024

Amazing quality and clarity, as usual

By Sol C P S

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Dec 13, 2024

The best online course I have taken!

By Madhav M

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Sep 26, 2024

Thanks to all the team of Andrew NG.

By hoanghero 1

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Mar 19, 2023

Easy to understand, useful knowledge

By Mohammad T

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Aug 18, 2022

Awesome explanation of key concepts.

By Shedrack M

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Nov 10, 2025

one of the best online courses ever

By Fabio A T

•

Nov 20, 2024

super Teacher and very good course.

By Ayobami F

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Aug 23, 2024

Most educative. Thank you Coursera.

By Jihan K

•

Mar 26, 2023

informative, and easy to understand

By Reza A

•

Oct 18, 2022

It's great course. Thank you Andrew

By srivatsav k

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Oct 21, 2024

Good for absolute beginners in ML.

By Amos P

•

Jan 11, 2025

Well structured and easy to learn

By Wilmer R V

•

Apr 19, 2024

Muy bueno, explicativo y práctico

By Sohag H (

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Jan 8, 2024

learn a lot. love from Bangladesh

By Xuesong T

•

Jan 7, 2024

very useful course! Thank Andrew!

By Boikhutso M

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Nov 29, 2023

Very well structured intro to ML,

By Jeremy L

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Aug 6, 2022

Amazing course!

I learned a lot!

By Jeremy S

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Oct 16, 2025

Andrew is an incredible teacher!

By Nguyễn N M

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Sep 18, 2025

a very good course for beginners

By Sikiru Y

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Jun 6, 2025

I found it profoundly impactful.

By Mathivathani S

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Apr 25, 2025

Excellent course, Thanks Andrew!