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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
5,434 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

TF

Jul 18, 2023

I hope more and more engineers in Japan take this course.The joy of learning machine learning with the world's top lecturer far outweighs the pain learning the subject in the non-native language.

TK

Sep 10, 2022

I​t simply exceeded my expectations. I recommend it to whoever who is trying to learn the concepts and need tips related to industry practices, and overall wants an applied approach.

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476 - 500 of 853 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Ojas P

•

Aug 25, 2023

Truly Exceptional, a very big Thank You!

By Haya K

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Oct 29, 2022

Much better learning resources. Thanks!

By Raj P

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Aug 22, 2025

good combo of both theory and practical

By Aydın S

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Jul 20, 2025

It was a great course. Thanks everyone!

By Matías B

•

Feb 29, 2024

The learning path is very well thought!

By reza j

•

Jun 30, 2025

Thank you Andrew, Your are in my heart

By Enock A

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Jun 20, 2025

Been so helpful at enhancing my skills

By Ayush K

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Dec 8, 2024

This course is phenomenal for starters

By Chu, Y

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Jul 22, 2024

Great course for unsupervised learning

By Parsa N

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Jun 23, 2024

I love Reinforcement Learning section!

By JUAN P P A

•

Sep 10, 2023

Excellent content with the best mentor

By Data i n B

•

Jul 9, 2023

The best machine learning program ever

By April 3

•

Feb 23, 2023

Great course on reinforcement learning

By Bishal G

•

Oct 28, 2025

A must for machine learning learners!

By Yakov K

•

May 22, 2024

Amazing quality and clarity, as usual

By Sol C P S

•

Dec 13, 2024

The best online course I have taken!

By Madhav M

•

Sep 26, 2024

Thanks to all the team of Andrew NG.

By hoanghero 1

•

Mar 19, 2023

Easy to understand, useful knowledge

By Mohammad T

•

Aug 19, 2022

Awesome explanation of key concepts.

By Shedrack M

•

Nov 11, 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 19, 2022

It's great course. Thank you Andrew

By Aldo S T V

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Dec 16, 2025

Es un excelente curso, recomendado