Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
5,434 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.

Filter by:

726 - 750 of 853 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Ramkumar

•

Aug 20, 2022

the best

By shijie j

•

Jul 13, 2025

非常棒的课程！

By mfl828

•

Apr 13, 2025

awesome

By Khaled Z

•

Apr 6, 2025

perfect

By YACINE

•

Jan 22, 2025

love it

By Yanuar Z

•

Dec 29, 2024

Awesome

By Onur C C

•

Oct 26, 2024

amazıng

By Deni K

•

Oct 12, 2024

amazing

By Ifeanyi A

•

Aug 31, 2024

Amazing

By Hesam A

•

Jul 9, 2024

perfect

By Fausto R

•

Jun 23, 2024

Ta weno

By Muhammad K I

•

Apr 15, 2024

awesome

By Saffanah N F

•

Apr 14, 2024

amazing

By Idir b

•

Feb 29, 2024

Awesome

By Sakshi P

•

Jan 15, 2024

awesome

By Moaaz m

•

Mar 23, 2025

Thanks

By Ferry A

•

Oct 23, 2024

greatt

By Huỳnh T T

•

Jul 26, 2023

Great!

By 刘楚墙

•

Mar 31, 2023

useful

By seyed m s m

•

Dec 15, 2022

THANKS

By M O

•

Dec 4, 2022

great!

By Alfred A

•

Oct 31, 2025

Super

By Mete U

•

Mar 19, 2025

GREAT

By Mukhammad I K

•

Oct 24, 2024

great

By Trisno P R

•

Oct 13, 2023

josss