Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

588 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


Sep 16, 2022

great introduction to machine learning. I tried to self study before but it didn't work and thanks to this course I did understand now a bunch of things I cant wrap up my head with. Thank you for this


Sep 26, 2022

clear, concise, well explained and best labs. this course is best starter for machine learning ( unsupervised).

thank you for Andrew Sir, and whole team for sharing your knowledge.

Filter by:

51 - 75 of 121 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Chidiebere N

Oct 13, 2022

By Yu-Cheng C

Nov 5, 2022

By Yhobany M G

Oct 23, 2022

By Prasanna

Sep 30, 2022

By Chandan A

Aug 17, 2022

By yeoh j w

Sep 18, 2022

By gautam g

Sep 2, 2022

By Gregory D

Dec 1, 2022

By Matthew Z

Nov 11, 2022

By Ali A M

Oct 10, 2022

By Abdul J K

Oct 1, 2022

By Onuorah M O

Nov 11, 2022

By Koustav P

Sep 14, 2022

By Pascal U E

Sep 11, 2022

By Hila M

Dec 4, 2022

By Abdelbasset O

Nov 27, 2022

By Annabell M

Nov 3, 2022

By Rorie B

Oct 29, 2022

By mhmd300044

Nov 24, 2022

By mohammadreza g

Aug 29, 2022

By Eyad N

Nov 18, 2022

By Denia C S

Nov 9, 2022

By Sai G M

Aug 15, 2022

By Ashraf H

Aug 9, 2022


Oct 16, 2022