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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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Dec 21, 2022

wonderful

By Prachet P

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Sep 21, 2024

Worthy!!

By Achyuth S

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Aug 2, 2023

Awesome.

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Oct 21, 2022

perfect

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Oct 9, 2022

Awesome

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Sep 3, 2022

perfect

By Ramkumar

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Aug 19, 2022

the best

By YACINE

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Jan 21, 2025

love it

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Dec 29, 2024

Awesome

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Oct 25, 2024

amazıng

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Oct 11, 2024

amazing

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Aug 31, 2024

Amazing

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Jul 8, 2024

perfect

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Jun 22, 2024

Ta weno

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awesome

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Apr 13, 2024

amazing

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Feb 28, 2024

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Jan 15, 2024

awesome

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Oct 23, 2024

greatt

By Huỳnh T T

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Jul 26, 2023

Great!

By 刘楚墙

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Mar 31, 2023

useful

By seyed m s m

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Dec 15, 2022

THANKS

By M O

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Dec 4, 2022

great!

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Oct 23, 2024

great

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Oct 13, 2023

josss