Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI

4.9
stars
4,717 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

Jun 2, 2025

this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .

AS

Oct 10, 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

Filter by:

226 - 250 of 724 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Marko N

•

Aug 8, 2023

Good course that offers a good starting point for unsupervised learning, recommenders and reinforcement learning.

By Mark R

•

Jun 5, 2024

Great learning experience! The instructor did an excellent job making complex topics understandable. Five stars!

By U.CHANDAN K .

•

May 15, 2023

Thank You very much for courses , Coursera and Sir Andrew for giving beautiful content in detailed way possible

By Hamad U R Q

•

Nov 15, 2022

Amazing course, awesome instructor.

Just a capstone project is missing. But highly recommended for ML learners.

By Vaibhav B

•

May 2, 2024

Incredible for begineer but my advice is to focus on doing things own your own after learning the theory part

By darius t

•

Jan 11, 2024

Challenging course giving a great overview as well as a deep dive into the fundamentals of machine learning

By Kerstin D

•

Apr 11, 2023

Fantastic course! Very well thought out and super valuable. The lectures are excellent and so are the labs!

By Arushi G

•

May 21, 2023

Excellent course gave me a good grasp on the topic and interested me more to learn about machine learning.

By Krishalika R

•

Sep 17, 2022

A good course. As a beginner to ML, this was very helpful for me to understand machine learning concepts,

By Someshwar V P m

•

Feb 4, 2025

A very good course for beginners. Andrew Ng sir explained very well. I made the full use of this course..

By K M

•

Oct 3, 2024

Absolutely must-go material. (You need to find exercises on your own as it doesn't have many assignments)

By Rashmi M

•

Mar 7, 2024

This course series is very helpful for those who are interested in ML & AI field to get domain knowledge.

By Andy W

•

Nov 20, 2023

Excellent lectures and hands-on lab assignments. I felt engaged from the start to the end of the course.

By Arvydas Ž

•

Dec 23, 2022

Recommenders is not a very often taught technique but I think is the most compelling part of this course.

By Bruno R S

•

Jul 30, 2022

Very few courses explore the insides of Unsupervised Learning and Reinforcement learning like this one.

By Tianyue P

•

Jun 13, 2023

Great course, great explanation on what unsupervised learning, recommenders, reinforcement learning is.

By Kush M

•

Mar 19, 2023

An excellent course and specialization to start machine learning with! Thank you to Andrew NG and team!

By Enes B

•

Nov 30, 2024

I really love this course. Andrew NG taught me a lot of new things. I hope I can be someone like him.

By Waseem K

•

Nov 28, 2022

Just as other courses by Andrew Ng, it is another well-structured course. I am grateful to the tutor.

By Namhoang

•

Nov 19, 2023

Thank you for making a good course. The concepts are well explained with lab to see how things work.

By Nitin C

•

Apr 2, 2023

Andrew is too good at explaining difficult concepts with such ease. I extremely enjoyed the course !

By Chidiebere N

•

Oct 13, 2022

I really enjoyed every bit of it and feel like I know the basics of machine learning. Thanks, Andy.

By Subodh S

•

Aug 6, 2023

i am very thankful to all the team members for such a great course for a non CS student. thank you.

By Yu-Cheng C

•

Nov 5, 2022

Thanks to this course, it helps me build rock solid and established good concepts in deep learning.

By 苏Jack

•

Jul 20, 2024

Definitely one of the most valuable courses to build a fudamental on the field of machine learning