Name: Unsupervised Learning, Recommenders, Reinforcement Learning
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (870 reviews)

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

4.9

stars

5,529 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

Mar 11, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

Sep 26, 2022

The content was details, explained thoroughly and understandable. But, when it came to implementation, few more labs similar to the structure of previous course could have improved it more.

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851 - 871 of 871 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Kateryna K

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Mar 16, 2023

I would do more challenging labs

By Sayed A S R

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Aug 24, 2025

great intro to machine learning

By Jimmy R

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Dec 6, 2023

Great stuff, learned a lot.

By Zoe

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Jan 7, 2025

Great for beginner.

By Haseeb A

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Aug 4, 2025

I enjoyed it a lot

By محمود ف

•

Feb 23, 2025

100% practical

By Areeba Z

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Jul 9, 2025

fantastic

By vinod t

•

Aug 27, 2022

good.

By Paluri S

•

Feb 15, 2026

good

By Dhruv A

•

Aug 15, 2024

nil

By Yesid J

•

Jul 28, 2024

Mucha teoría, poca práctica.

By Sumit S

•

Nov 15, 2022

good experience

By Govind U

•

Jan 29, 2026

By Lior G

•

Dec 29, 2024

i had a lot of problems in the grading even when i was right

By Abdulla A

•

Oct 9, 2025

Lab

By Dawood F

•

Feb 25, 2026

course was overall good, but in week 2 practice lab 2 i was unable to clear that for unkown reason by mistake i deleted a cell and i was unable to reset that practice lab. because of that my course remained 95% complete making me unbale to collect the certificate.