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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
5,158 ratings

About the Course

In the third course of the Machine Learning Specialization, you will: 鈥� Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. 鈥� Build recommender systems with a collaborative filtering approach and a content-based deep learning method. 鈥� 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鈥檚 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鈥檙e 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

AS

Jun 2, 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 .

SB

Nov 7, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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776 - 791 of 791 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Sayed A S R

鈥�

Aug 24, 2025

great intro to machine learning

By Jimmy R

鈥�

Dec 6, 2023

Great stuff, learned a lot.

By Zoe

鈥�

Jan 7, 2025

Great for beginner.

By Haseeb A

鈥�

Aug 4, 2025

I enjoyed it a lot

By 賲丨賲賵丿 賮

鈥�

Feb 23, 2025

100% practical

By Areeba Z

鈥�

Jul 9, 2025

fantastic

By vinod t

鈥�

Aug 27, 2022

good.

By Dhruv A

鈥�

Aug 15, 2024

nil

By Yesid J

鈥�

Jul 28, 2024

Mucha teor铆a, poca pr谩ctica.

By Sumit S

鈥�

Nov 15, 2022

good experience

By Lior G

鈥�

Dec 29, 2024

i had a lot of problems in the grading even when i was right

By Pranav G

鈥�

Apr 2, 2023

i didnt get to avail my certificate, though it was showing last submission date as 2nd april, i cant submit on 2nd and couldnt get my certificate

By Sanket P

鈥�

Sep 2, 2024

I have enrolled through financial aid but it is asking me to upgrade and pay for it

By Brian

鈥�

Jun 11, 2025

Very high level brief overview, uses out-dated TensorFlow, not practical at all.

By Vivian P

鈥�

Mar 28, 2024

Class does not exist- the links do not work

By Harsh S

鈥�

Jun 21, 2023

good course