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:

451 - 475 of 570 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

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!

By 李文煜

•

Sep 10, 2024

Great course

By Kareem M

•

Jul 14, 2024

Thanks a lot

By FATEMEH S

•

Feb 20, 2024

it was great

By Karthik N

•

Oct 16, 2023

Great course

By richard b

•

May 20, 2023

great 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 Mike M

•

Sep 19, 2023

Thank you!

By Gelu G

•

May 9, 2023

Excelent !

By Sabeur M

•

Mar 16, 2023

Top Course

By yuzhuobai

•

Nov 27, 2022

Thank you!

By پوریا ز

•

Sep 16, 2022

it's great

By Đinh N L T

•

Sep 7, 2024

Awesome!!

By HIMANSHU R

•

Aug 23, 2024

very good