Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
5,511 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

AM

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.

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.

Filter by:

651 - 675 of 866 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Rishi M

•

Feb 1, 2023

Great Course!!!

By Francis K

•

Oct 2, 2022

very educative

By Anne P

•

Sep 30, 2022

Super didatic!!

By Sandeep M

•

Aug 25, 2022

Awesome course.

By Jan S

•

Aug 8, 2022

Best out there!

By Alexander M

•

Nov 29, 2025

wow, excellent

By Shivam B

•

Oct 14, 2025

goated teacher

By Valentino F

•

Jul 30, 2025

I love Andrew!

By Raj P

•

Mar 29, 2025

Awesome course

By Dimas F

•

Feb 12, 2025

mesmerizing me

By Karim R

•

Feb 5, 2025

AMAZING COURSE

By Luis G L

•

Jan 4, 2025

good course :)

By Francisco J M S

•

Dec 27, 2024

Gracias Andrew

By Ali Q

•

Dec 15, 2024

Magnificently!

By Manish C R

•

Aug 15, 2024

love andrew ng

By Shohin A

•

Jun 1, 2024

Amazing course

By Arkadiusz J

•

Mar 6, 2024

Thank you ! :)

By Ni K P S

•

Oct 16, 2023

Awesome class!

By BIBHUTI B B

•

Jul 16, 2023

Superb Course.

By Dr. M S

•

Aug 20, 2022

Simply awesome

By Sixto M

•

Nov 16, 2025

Muy excelente

By Alex T

•

Mar 20, 2025

great course!

By Ennouamane K

•

Oct 2, 2024

Great course.

By Zaid S

•

Aug 20, 2024

very goood!!!

By Sabeur M

•

Dec 21, 2023

Great courses