Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
3,380 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

JT

Invalid date

Recommender Systems, Reinforcement Learning culminating in teaching a simulated Lunar Lander to land itself! I bet SpaceX something similar for the 'real' starship landing; it's much more complicated!

VB

Invalid date

Great job to Andrew and crew! It would have nice to have a primer on Python and Numpy vector operations for this course. Oh well, I needed to learn Python sooner or later!

Filter by:

301 - 325 of 570 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Abekoon J R J C R

•

Aug 12, 2023

This course opened me a new way of problem solving

By 周建廷

•

Jun 25, 2023

It would be better if there were Chinese subtitles

By Sai G M

•

Aug 15, 2022

Excellent course. Nothing less expected of Andrew!

By Ashraf H

•

Aug 9, 2022

Outstanding course and specialization. Thank you!

By OLUWAFEMI A

•

Oct 16, 2022

A fantastic course. Taught simply and completely

By Jair C

•

Sep 28, 2022

Excelent and Innovative course. Congratulations.

By Reginaldo C

•

Feb 12, 2024

I am really amazed by the quality of the course.

By Cornelius K

•

Jul 23, 2023

Very clear, step by step course, easy to follow.

By Alireza K

•

Sep 12, 2022

Thank you Andrew. This is the best course ever.

By mazhoud n

•

Aug 18, 2024

a good professional machine learning foundation

By Gehad G

•

Aug 16, 2024

the course was very useful, thank you very much

By bhakta r

•

Sep 9, 2023

Great course for intuition to machine learning!

By Sibal K

•

Jul 17, 2023

unreal course foe machine learning enthusiast !

By MR

•

Apr 1, 2023

Great instructor and content. Can recommend 5/5

By Onwunyi C

•

Jan 17, 2023

One of the greatest courses on Machine Learning

By Karim A 2

•

Sep 30, 2022

Amazing course like usual from deeplearning.ai

By Tazkera H

•

Sep 6, 2023

excellent course and very detailed explanation

By Milan S

•

Dec 27, 2023

Great course resources and great teaching !!!

By Sophia C

•

Jun 1, 2024

Very professional! kudos to Professor Andrew

By Ahmad S A

•

Jul 28, 2023

It is a good course for self-paced learners.

By Ahmed F E I

•

Jul 20, 2024

Thanks from all my heart to Prof. Andrew NG

By Lakshminarayanan

•

May 21, 2023

Great introduction into the concepts of RL.

By VH11923 D M

•

Sep 8, 2024

Really great i learnt a lot in this course

By Soumyadweep M

•

Jul 8, 2023

Please make the optional labs in Py Torch.

By Douwe J H

•

Sep 6, 2022

Great course, great teachers, very clear,