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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
4,340 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

AS

Oct 9, 2024

This is a good beginner course . I have been reading around topics and when you jumble around it is hard to follow. This course structure was what i was looking for. i would recommend this to others

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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By Nguyễn N Q G

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Mar 10, 2023

well!

By Meryam k

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Mar 5, 2023

top !

By Birhanu G

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Sep 19, 2022

wow!

By Gene K

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Feb 27, 2025

浅显易懂

By Chandan S

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Nov 15, 2024

best

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Nov 13, 2024

Good

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Oct 23, 2024

Nice

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Oct 22, 2024

good

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Jul 3, 2024

nice

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Apr 12, 2024

Hard

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Mar 12, 2024

Best

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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

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Oct 19, 2023

good

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Sep 24, 2023

Good

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Aug 23, 2023

good

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Jun 24, 2023

Good

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Apr 11, 2023

good

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Apr 8, 2023

good

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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 Ritesh K S

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Nov 21, 2023

NA