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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
3,684 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.

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426 - 450 of 592 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Afdoni P S

•

Apr 11, 2023

yoyoyoyoyo kerenss

By Jatin k

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Jan 28, 2023

Amazing Content!!!

By Jaedong S

•

Sep 23, 2022

Excellent course!

By David G

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Sep 4, 2022

more of it please.

By PANKAJ A

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Jul 2, 2024

Just excellent!!!

By jason l

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Sep 12, 2023

Wonderful Course!

By Carel T

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Mar 21, 2023

Excellent! Thanks

By Eric H

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Dec 1, 2022

I love Andrew Ng!

By Ankan S

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Oct 19, 2022

Very nice course

By Valentin R

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Aug 22, 2022

Excellent course!

By 马镓浚

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Aug 17, 2022

Excellent course!

By hana S

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Sep 14, 2024

Thank you Andrew

By Anvesha C

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Jun 15, 2024

very informative

By Buhari N

•

Mar 29, 2024

Excellent Course

By Harold H

•

Feb 24, 2024

brilliant course

By danial

•

Feb 14, 2024

Best course ever

By bounphet t

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Apr 15, 2023

very good course

By Lokesh J

•

Mar 29, 2023

Excellent course

By Ben Z

•

Aug 21, 2022

Excellent Course

By Renan d B L

•

Jun 28, 2024

Amazing course!

By Jose C

•

Apr 3, 2024

Excelent course

By Roman M

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Mar 6, 2024

Highly valuable

By Syed A M

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Feb 5, 2024

Amazing course!

By khashayar m

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Jan 26, 2024

Greattttttt!!!!

By ali o

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Oct 25, 2023

beautiful cours