Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
5,321 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 .

Filter by:

651 - 675 of 833 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

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 26, 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!

By THIERNO D

•

Oct 10, 2025

Great course

By Ishan__Subedi

•

Jul 23, 2025

great course

By Timileyin D

•

May 10, 2025

Excellent!!!

By Sbitnev M

•

Nov 7, 2024

Best courses

By 李文煜

•

Sep 10, 2024

Great course

By Kareem M

•

Jul 14, 2024

Thanks a lot

By fateme s

•

Feb 20, 2024

it was great

By Karthik N

•

Oct 16, 2023

Great course

By richard b

•

May 20, 2023

great course

By Uyen V

•

Mar 8, 2025

Very useful

By jin x

•

Feb 17, 2025

great class

By Hamza S

•

Nov 4, 2024

Good course

By 鄭宇翔

•

Jul 19, 2024

very useful

By Asad H

•

Jul 17, 2024

Good Course

By Đạt N

•

Oct 9, 2022

help a lot