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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
4,340 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

AS

Oct 9, 2024

This is a good beginner course . I have been reading around topics and when you jumble around it is hard to follow. This course structure was what i was looking for. i would recommend this to others

SB

Nov 6, 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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476 - 500 of 681 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Xiaokun Z

•

Feb 18, 2023

Excellent teaching!

By Ajay S P

•

Aug 13, 2024

love you Andrew Ng

By Nelson M

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Jun 17, 2024

excellent! superb!

By Akkilesh K

•

Jun 15, 2024

Best in the Market

By Safa E

•

May 8, 2024

highly recommended

By Sarfaraz A K

•

Feb 5, 2024

outstanding course

By Utpoul K M

•

Dec 6, 2023

Simply the best!!!

By Afdoni P S

•

Apr 11, 2023

yoyoyoyoyo kerenss

By Jatin k

•

Jan 28, 2023

Amazing Content!!!

By Jaedong S

•

Sep 22, 2022

Excellent course!

By David G

•

Sep 4, 2022

more of it please.

By PANKAJ A

•

Jul 2, 2024

Just excellent!!!

By jason l

•

Sep 12, 2023

Wonderful Course!

By Carel T

•

Mar 21, 2023

Excellent! Thanks

By Eric H

•

Dec 1, 2022

I love Andrew Ng!

By Ankan S

•

Oct 19, 2022

Very nice course

By Valentin R

•

Aug 22, 2022

Excellent course!

By 马镓浚

•

Aug 17, 2022

Excellent course!

By Ahmed M

•

Jan 30, 2025

best of the best

By Muhammad A A

•

Jan 19, 2025

excellent course

By Mohan S Y

•

Dec 16, 2024

very good course

By Deleted A

•

Nov 7, 2024

Very good course

By hana S

•

Sep 14, 2024

Thank you Andrew

By Anvesha C

•

Jun 15, 2024

very informative

By Buhari N

•

Mar 29, 2024

Excellent Course