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

4.9
stars
5,434 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

TF

Jul 18, 2023

I hope more and more engineers in Japan take this course.The joy of learning machine learning with the world's top lecturer far outweighs the pain learning the subject in the non-native language.

TK

Sep 10, 2022

I​t simply exceeded my expectations. I recommend it to whoever who is trying to learn the concepts and need tips related to industry practices, and overall wants an applied approach.

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By Birhanu G

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Sep 19, 2022

wow!

By Jabez S

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Oct 13, 2025

best

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Aug 18, 2025

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GOOD

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Feb 27, 2025

浅显易懂

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Nov 16, 2024

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Nov 13, 2024

Good

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Oct 24, 2024

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Oct 22, 2024

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Jul 4, 2024

nice

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Apr 12, 2024

Hard

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Mar 13, 2024

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Mar 6, 2024

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Jan 1, 2024

best

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Dec 2, 2023

روعة

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Oct 20, 2023

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Sep 25, 2023

Good

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Aug 23, 2023

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Jun 24, 2023

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good

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Feb 18, 2023

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Nov 19, 2022

bhjn

By Tharun V

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Nov 1, 2022

good

By Jaber

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Sep 12, 2022

<3