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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
5,268 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

HZ

Jul 22, 2024

Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

ML

Aug 18, 2022

This course is an excellent course for introductory machine learning. All of the topics are covered in great detail and It is an honor to be taught by Andrew N.G, the Great teacher.

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301 - 325 of 816 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Debbie S

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Jun 26, 2023

This course is excellent. Excellent explanations along with excellent videos and labs.

By Dominique C

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Apr 5, 2023

great course, Andrew Ng is still very clear and it's a great pleasure to learn with him

By Greg D

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Dec 2, 2022

Required allot of homework to understand the foundations but well worth it in the end !

By Matthew Z

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Nov 12, 2022

Great course! Loved the parts of Recommender Systems and Reinforcement Learning a lot!

By Abhay K

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Sep 26, 2025

Cant't Imagine how easy this gets when you get to learn from a legend like Andrew Ng.

By Siva P N

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Mar 22, 2023

I love the course arrangement and framing of the visual learning for gradient descent

By Ali A M

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Oct 10, 2022

Best course to learn the basics of Unsupervised Learning and Reinforcement Learning.

By Morteza M

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Jan 15, 2025

Amazing course, i just learned all the topics from this course. Thank you Andrew Ng!

By Daniel L

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Apr 20, 2023

helped me grasp concepts in a way I would not have been able to without this course.

By Dominik M

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Jan 11, 2025

Really engaging course with interesting, interactive notebooks to apply the theory.

By Yue W

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May 6, 2024

Andrew is such a brilliant and patient teacher, I want him to make more courses !!!

By Abdul J K

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Oct 2, 2022

Excellent course with a bit more complex techniques compare to supervised learning

By Alexandre R

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Aug 18, 2023

Perfect to sharpen your skills in Machine Learning, Andrew is great as a teacher !

By Onuorah M O

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Nov 11, 2022

A very interesting course to undertake for intending AI and Data science engineers

By Damilare L A

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Jan 18, 2025

This course is awesome and i must say i have achieved a milestone in this course.

By Sal T

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Sep 11, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

By Michael R

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Nov 1, 2023

One of the warmest and knowledgable instructors I've ever had! May God bless him.

By Dolrie S

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Apr 12, 2023

well spent and a good teacher is not about the material but the way they teach us

By Maurizio A

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Feb 12, 2023

Simply fantastic! Thank you to all professors and authors of this specialization.

By Koustav P

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Sep 15, 2022

Very detailed. Fortunately I work in this domain so found it easier to complete.

By David C

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Apr 12, 2023

Es amigable aunque no se tengan tantos fundamentos de matemáticas o programación

By R.M. R

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Jan 25, 2024

Excellent course to understand maths and science behind Reinforcement Learning.

By Kashif M

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Oct 15, 2023

Great to learn unsupervised learning especially DRL and the mathematics behind!

By Sandile T

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Jul 27, 2023

Learning Reinforcement at a scientific level, coupled with real life projects.

By George H

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Jul 16, 2023

Excellent course. Explanations and examples are didactic. I strongly recommend.