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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
5,430 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

ML

Dec 12, 2022

The whole specialisation is a great quick review of main topics. Proper learning requires deeper knowledge of algebra, calculus and python. But these courses are a fast, essential starting point.

AM

Mar 10, 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.

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651 - 675 of 850 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Dimas F

•

Feb 11, 2025

mesmerizing me

By Karim R

•

Feb 4, 2025

AMAZING COURSE

By Luis G L

•

Jan 3, 2025

good course :)

By Francisco J M S

•

Dec 26, 2024

Gracias Andrew

By Ali Q

•

Dec 14, 2024

Magnificently!

By Manish C R

•

Aug 15, 2024

love andrew ng

By Shohin A

•

May 31, 2024

Amazing course

By Arkadiusz J

•

Mar 5, 2024

Thank you ! :)

By Ni K P S

•

Oct 16, 2023

Awesome class!

By BIBHUTI B B

•

Jul 15, 2023

Superb Course.

By Dr. M S

•

Aug 19, 2022

Simply awesome

By Sixto M

•

Nov 15, 2025

Muy excelente

By Alex T

•

Mar 19, 2025

great course!

By Ennouamane K

•

Oct 1, 2024

Great course.

By Zaid S

•

Aug 20, 2024

very goood!!!

By Sabeur M

•

Dec 20, 2023

Great courses

By Daniel C

•

Oct 10, 2023

Very good n.n

By Guntur P B K

•

Sep 20, 2023

Understanding

By Mohamed E m

•

Aug 7, 2023

greet teacher

By Omar A

•

Mar 30, 2023

Thanks Andrew

By Fitrah S

•

Mar 24, 2023

thank you too

By Sam T

•

Feb 25, 2023

Easy and Fun!

By Joshua A

•

Dec 24, 2022

Praise God!!!

By Gerd D B

•

Oct 25, 2022

Awesome guys!

By 周良骥

•

Aug 8, 2022

Great course!