Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
3,684 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

Jun 7, 2024

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!

CL

Jun 30, 2024

Good pace and really well-designed for those who are total strangers to machine learning. I could follow along quite easily and looking forward to try out some of those algorithms on my own free time.

Filter by:

451 - 475 of 592 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Dr_stoned_420

•

Aug 12, 2023

Fabulous course

By Abhay K

•

Feb 13, 2023

Amazing course.

By Rishi M

•

Feb 1, 2023

Great Course!!!

By Francis K

•

Oct 1, 2022

very educative

By Anne P

•

Sep 29, 2022

Super didatic!!

By Sandeep M

•

Aug 25, 2022

Awesome course.

By Jan S

•

Aug 8, 2022

Best out there!

By Manish C R

•

Aug 15, 2024

love andrew ng

By Shohin A

•

May 31, 2024

Amazing course

By Arkadiusz J

•

Mar 5, 2024

Thank you ! :)

By Ni K P S

•

Oct 16, 2023

Awesome class!

By BIBHUTI B B

•

Jul 15, 2023

Superb Course.

By Dr. M S

•

Aug 19, 2022

Simply awesome

By Ennouamane K

•

Oct 1, 2024

Great course.

By Zaid S

•

Aug 20, 2024

very goood!!!

By Sabeur M

•

Dec 20, 2023

Great courses

By Daniel C

•

Oct 10, 2023

Very good n.n

By Guntur P B K

•

Sep 20, 2023

Understanding

By Mohamed E m

•

Aug 7, 2023

greet teacher

By Omar A

•

Mar 30, 2023

Thanks Andrew

By Fitrah S

•

Mar 24, 2023

thank you too

By Sam T

•

Feb 26, 2023

Easy and Fun!

By Joshua A

•

Dec 24, 2022

Praise God!!!

By Gerd D B

•

Oct 25, 2022

Awesome guys!

By 周良骥

•

Aug 8, 2022

Great course!