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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
2,708 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

RD

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

AM

Mar 10, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

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276 - 300 of 470 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Валерия М

•

Jan 12, 2024

The best explanations ever. Enjoyed a lot

By Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

By Mungunshagai T

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Mar 25, 2023

Basic түвшний мэдлэгтэй болсон. Баярлалаа

By Priyanshu P

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Feb 2, 2024

Amazing course, Thank you Andrew sir🙏🙏

By Ojas P

•

Aug 25, 2023

Truly Exceptional, a very big Thank You!

By Haya K

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Oct 28, 2022

Much better learning resources. Thanks!

By Matías B

•

Feb 28, 2024

The learning path is very well thought!

By JUAN P P A

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Sep 9, 2023

Excellent content with the best mentor

By 東宮

•

Jul 8, 2023

The best machine learning program ever

By April 3

•

Feb 22, 2023

Great course on reinforcement learning

By hoanghero 1

•

Mar 19, 2023

Easy to understand, useful knowledge

By Tajuddin M

•

Aug 18, 2022

Awesome explanation of key concepts.

By Jihan K

•

Mar 26, 2023

informative, and easy to understand

By Reza A

•

Oct 18, 2022

It's great course. Thank you Andrew

By Wilmer R V

•

Apr 19, 2024

Muy bueno, explicativo y práctico

By Sohag H (

•

Jan 8, 2024

learn a lot. love from Bangladesh

By Xuesong T

•

Jan 7, 2024

very useful course! Thank Andrew!

By Boikhutso M

•

Nov 29, 2023

Very well structured intro to ML,

By Jeremy L

•

Aug 6, 2022

Amazing course!

I learned a lot!

By Abhay K

•

Sep 27, 2023

You are the best teacher so far.

By Justin H

•

Mar 11, 2023

Andrew Ng. Enuff said. 👍👍👍

By Gloria L

•

May 4, 2024

I enjoyed taking this course :)

By Rolando R Z C

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Apr 25, 2024

Very carefully designed course.

By Mirro S

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Feb 23, 2024

nothing but absolutely AMAZING!

By Arjun V

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Dec 23, 2023

Learn many things, Thanks a lot