Chevron Left
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!

Filter by:

551 - 575 of 681 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Hamza S

•

Nov 4, 2024

Good course

By 鄭宇翔

•

Jul 19, 2024

very useful

By Asad H

•

Jul 17, 2024

Good Course

By Đạt N

•

Oct 9, 2022

help a lot

By Daniel T

•

Feb 28, 2025

I like it.

By Mike M

•

Sep 19, 2023

Thank you!

By Gelu G

•

May 9, 2023

Excelent !

By Sabeur M

•

Mar 15, 2023

Top Course

By yuzhuobai

•

Nov 27, 2022

Thank you!

By پوریا ز

•

Sep 16, 2022

it's great

By Kaushik C

•

Dec 30, 2024

Excellent

By Rahul N

•

Nov 28, 2024

Great one

By Marsha F S

•

Oct 23, 2024

soo goood

By Đinh N L T

•

Sep 7, 2024

Awesome!!

By Himanshu R

•

Aug 23, 2024

very good

By Thilak t

•

Jul 24, 2024

excellent

By João V

•

May 3, 2024

THE GOAT!

By raid a B

•

Mar 30, 2024

Andrew <3

By Carlos M M M

•

Feb 15, 2024

Brilliant

By Akansha y

•

Oct 18, 2023

Excellent

By Albert H

•

Oct 3, 2023

Excellent

By Muhammad T H

•

Sep 26, 2023

Very Nice

By Prithwijit G

•

Jun 14, 2023

Excellent

By Data I M

•

Apr 5, 2023

very like

By yugdeep p

•

Mar 16, 2023

very good