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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
5,393 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

AM

Mar 10, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

HZ

Jul 21, 2024

Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

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751 - 775 of 842 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Porco J

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Jul 3, 2024

nice

By Nguyen T N

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Apr 12, 2024

Hard

By Md. S A

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Mar 12, 2024

Best

By Naiyan N

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Mar 5, 2024

good

By Ishaan

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Jan 1, 2024

best

By HAYAA T T A

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Dec 1, 2023

روعة

By Dini P U

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Oct 19, 2023

good

By DB T

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Sep 24, 2023

Good

By RUSSO F

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Aug 23, 2023

good

By ليان ع ع ا

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Jun 24, 2023

Good

By Wickly G

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Apr 11, 2023

good

By Angger M R

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Apr 8, 2023

good

By Ande R

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Feb 17, 2023

good

By Minakshi

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Nov 18, 2022

bhjn

By Tharun V

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Oct 31, 2022

good

By Jaber

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Sep 11, 2022

<3

By 达奇达奇上校

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Oct 24, 2025

很好

By Ritesh K S

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Nov 21, 2023

NA

By ADITYA C (

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May 8, 2023

NA

By Amitava M

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Oct 24, 2025

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By RAJ A

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Jun 15, 2025

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By Hernán G

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Aug 30, 2023

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By Mahek D K V (

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Jul 27, 2023

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By Tony H

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Aug 15, 2024

Greate ML Specialization program. I really enjoy the teach style of Andrew Ng. I can tell he has lots of heart and really want to share everything he know. The first two course had good pace. The last course feel abit compact with lots of information being packed in. While it was missing the smaller steps optional labs to help student practice the concept on simpler problems. Instead, the course 3 only have the final labs, which is surprisingly quite difficult when being thrown into it with so many new things at once. Overall, great program! I really enjoy learning ML from Andew Ng as the foundation for DL and AI for my career change into the AI Specialization role/field. Thank you Andrew.

By Rawabi S Q A

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Apr 14, 2024

The "Supervised Machine Learning: Regression and Classification, Advanced Learning Algorithms, Unsupervised Learning, Recommenders, Reinforcement Learning" course offers a comprehensive and valuable learning experience. It covers a wide range of machine learning topics, including supervised learning, advanced algorithms, unsupervised learning, recommenders, and reinforcement learning. The course provides a solid foundation in theory and practical applications, making it suitable for both beginners and experienced practitioners.