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Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
3,894 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!

RD

Sep 16, 2022

great introduction to machine learning. I tried to self study before but it didn't work and thanks to this course I did understand now a bunch of things I cant wrap up my head with. Thank you for this

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426 - 450 of 620 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Carlos

•

May 21, 2024

exceptional teaching

By MT H

•

Aug 25, 2023

highly rerecommended

By 邱少麒

•

Jun 11, 2023

good，helpful，useful。

By abhinav r

•

Jan 10, 2023

Very well explained.

By Pat R

•

Dec 9, 2022

Good starter classes

By mohammad n

•

Aug 16, 2022

andrew ng is awesome

By Junling W

•

Nov 14, 2024

Andrew is the best!

By Thảo N

•

Feb 5, 2024

it's a great course

By Dr. R K G

•

Jul 13, 2023

Very well Executed.

By Xiaokun Z

•

Feb 19, 2023

Excellent teaching!

By Ajay S P

•

Aug 13, 2024

love you Andrew Ng

By Nelson M

•

Jun 17, 2024

excellent! superb!

By Akkilesh K

•

Jun 15, 2024

Best in the Market

By Safa E

•

May 9, 2024

highly recommended

By Sarfaraz A K

•

Feb 5, 2024

outstanding course

By Utpoul K M

•

Dec 6, 2023

Simply the best!!!

By Afdoni P S

•

Apr 11, 2023

yoyoyoyoyo kerenss

By Jatin k

•

Jan 28, 2023

Amazing Content!!!

By Jaedong S

•

Sep 23, 2022

Excellent course!

By David G

•

Sep 4, 2022

more of it please.

By PANKAJ A

•

Jul 2, 2024

Just excellent!!!

By jason l

•

Sep 12, 2023

Wonderful Course!

By Carel T

•

Mar 21, 2023

Excellent! Thanks

By Eric H

•

Dec 1, 2022

I love Andrew Ng!

By Ankan S

•

Oct 19, 2022

Very nice course