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:

251 - 275 of 570 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Daniel G

Apr 14, 2023

It covers all the basics of ML in a comprehensive manner. Highly recommended

By Hila M

Dec 4, 2022

Thank you very much! This is an exellent course. Please add Hebrow subtitles

By Abdelbasset O

Nov 27, 2022

A great challenge and as always prof's Andrew ng delivery is simply perfect.

By Annabell M

Nov 3, 2022

excellently taught! I wish more classes/ courses were taught in this format.

By Daniel F

Feb 21, 2024

Truly inspirational and a wealth of knowledge and enthusiasm from Andrew Ng

By Mahdieh

Jun 8, 2023

Incredible course!

Thank you Andrew for sharing all these information to us!

By Leviathan Z

Apr 7, 2024

thanks to Andrew I had a really wonderful time learning this online course

By Valentino A

Aug 5, 2024

Best course I´ve ever had. It´s just mind blowing, and Andrew is a genius

By Adam R

Jul 28, 2024

Best teacher! and made it so fun! can't wait to take it all over again!

By Max-coder46

Apr 16, 2024

A great wealth of knowledge for beginners in AI, I highly recommend it!

By Imya F

Apr 20, 2023

Andrew is a fantastic teacher, and the practice tasks were very useful!

By Pawan P P

Mar 29, 2024

super beginner-friendly. And I learned a lot. From basics to advanced.

By Rorie B

Oct 29, 2022

Excellent course, but wish more math could be included(like optional)

By Sajjad R K

Dec 30, 2022

Thanks to Andrew NG, other instructors, and Coursera, it was perfect.

By mhmd300044

Nov 24, 2022

It's amazing course ,they exerted a huge efforts on it...thanks a lot

By Julfa M A

Jul 28, 2024

Thanks so much for the best knowledge I could have from this course!

By MONISH K P

Oct 12, 2023

ITS REALLY HELPFULL TO LEANR MORE NEW NEW THINGS IN MACHINE LEARNING

By Sam Z

Sep 15, 2023

Thanks, Prof Andrew and team, I am honored to say I am your student.

By Abayomi A

Dec 21, 2023

Great course, this course was taught with great real world examples

By mr g

Aug 29, 2022

It was an excellent experience for me. I recommend you enjoy it ;)

By Anjula U

Jun 23, 2023

Thank you very much Andrew Ng, DeepLearning.AI and Sanford Online

By Raunak R

Apr 19, 2023

the course was amazing and i learned many thing from this course

By Yang Y

Sep 19, 2024

Intuitive, practical, at the right level of depth for beginners.

By Amin (

Oct 4, 2023

the content presented on this course was great and brief. thanks

By Mohammad B

Jun 6, 2023

awesome thanks andrew Ng and Thank you so much for financial aid