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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
4,599 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 10, 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 7, 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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451 - 475 of 709 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Tanu J

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Oct 12, 2023

Specific, simple and through

By Ananda B

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Jul 4, 2023

A lot of new topics to cover

By Peter R

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Sep 27, 2022

I learnt so much thank you.

By nithya v

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Aug 18, 2024

Excellent course material.

By Dietmar M

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Jul 3, 2024

Exiting course, sparks joy

By AARYAV D (

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Sep 9, 2023

It was a very good course.

By ABHINAV K

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Aug 8, 2023

Best course of this series

By Joy B

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Feb 21, 2023

Excellent and informative.

By Hao L

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Jan 27, 2025

good series for beginners

By Ernesto J O M

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Jan 9, 2025

Nice content and practice

By Jayesh I

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Aug 12, 2024

Great course for Learning

By Feroz K

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Jul 17, 2024

a very informative course

By Srinivas K B

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Oct 26, 2022

Nicely taught! Thank you

By Maximilian S

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Sep 22, 2024

Very motivating lecturer

By Jonathan P O

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Jun 22, 2024

It?s a completely course

By Papa M N

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Mar 7, 2025

Really really intertind

By Julien F

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Jul 13, 2024

Andrew, you're the best

By Cao T M Q

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May 30, 2024

This course is awesome!

By 刘士毅

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Mar 7, 2025

非常棒的课程，帮助我建立机器学习的概念的方法

By Dev C

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Apr 6, 2024

Best for the beginners

By Anuj S

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Nov 15, 2023

most help for learning

By Schroch

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Jul 19, 2023

Very intuitive course!

By Zakaria E J

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Jan 5, 2023

Absolutely astonishing

By PHAM C B

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Sep 3, 2024

an awesome experience

By Chitra M G 2

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Sep 2, 2024

encourageable classes