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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
5,321 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

ML

Aug 17, 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.

ML

Dec 12, 2022

The whole specialisation is a great quick review of main topics. Proper learning requires deeper knowledge of algebra, calculus and python. But these courses are a fast, essential starting point.

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551 - 575 of 831 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Cao T M Q

•

May 30, 2024

This course is awesome!

By Ayman M

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Nov 8, 2025

My best statrt poin 🙌

By Arpitha R

•

Oct 29, 2025

Very good introduction

By Damilola A

•

May 24, 2025

Andrew Ng is the best!

By 刘士毅

•

Mar 7, 2025

非常棒的课程，帮助我建立机器学习的概念的方法

By Dev C

•

Apr 5, 2024

Best for the beginners

By Anuj S

•

Nov 15, 2023

most help for learning

By Schroch

•

Jul 19, 2023

Very intuitive course!

By Zakaria E J

•

Jan 5, 2023

Absolutely astonishing

By PHAM C B

•

Sep 2, 2024

an awesome experience

By Chitra M G 2

•

Sep 2, 2024

encourageable classes

By Surendhran P

•

Aug 22, 2024

It is a great course.

By Chris O

•

Nov 20, 2023

beautiful and concise

By Satish P

•

Jul 27, 2023

Thank you, Andrew NG.

By Vishal V

•

Apr 7, 2023

Good level of coding.

By Arti P M

•

Sep 29, 2022

such a greate course

By Dheeraj S

•

May 15, 2025

VERY GOOD EXPERIENCE

By Naireet S

•

Aug 20, 2024

Excellent experience

By Carlos

•

May 21, 2024

exceptional teaching

By Min T T

•

Aug 25, 2023

highly rerecommended

By 邱少麒

•

Jun 11, 2023

good，helpful，useful。

By abhinav r

•

Jan 10, 2023

Very well explained.

By Pat R

•

Dec 9, 2022

Good starter classes

By mohammad n

•

Aug 16, 2022

andrew ng is awesome