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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
4,010 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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351 - 375 of 637 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Lakshminarayanan

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May 21, 2023

Great introduction into the concepts of RL.

By VH11923 D M

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Sep 8, 2024

Really great i learnt a lot in this course

By Soumyadweep M

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Jul 8, 2023

Please make the optional labs in Py Torch.

By Douwe J H

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Sep 6, 2022

Great course, great teachers, very clear,

By Muhammad S I

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Apr 1, 2024

Its a perfect course for beginners in AI.

By sharjeel A

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Mar 12, 2024

I am learn a lot of things in this course

By Валерия М

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Jan 12, 2024

The best explanations ever. Enjoyed a lot

By Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

By Mungunshagai T

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Mar 25, 2023

Basic түвшний мэдлэгтэй болсон. Баярлалаа

By Priyanshu P

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Feb 2, 2024

Amazing course, Thank you Andrew sir🙏🙏

By Ojas P

•

Aug 25, 2023

Truly Exceptional, a very big Thank You!

By Haya K

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Oct 28, 2022

Much better learning resources. Thanks!

By Matías B

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Feb 28, 2024

The learning path is very well thought!

By Ayush K

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Dec 8, 2024

This course is phenomenal for starters

By Chu, Y

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Jul 22, 2024

Great course for unsupervised learning

By Parsa N

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Jun 23, 2024

I love Reinforcement Learning section!

By JUAN P P A

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Sep 9, 2023

Excellent content with the best mentor

By Data i n B

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Jul 8, 2023

The best machine learning program ever

By April 3

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Feb 22, 2023

Great course on reinforcement learning

By Yakov K

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May 22, 2024

Amazing quality and clarity, as usual

By Sol C P S

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Dec 13, 2024

The best online course I have taken!

By Madhav M

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Sep 26, 2024

Thanks to all the team of Andrew NG.

By hoanghero 1

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Mar 19, 2023

Easy to understand, useful knowledge

By Tajuddin M

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Aug 18, 2022

Awesome explanation of key concepts.

By Fabio A T

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Nov 20, 2024

super Teacher and very good course.