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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
4,224 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

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!

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

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251 - 275 of 665 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By gautam g

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Sep 2, 2022

Excellent Course for beginner to learn Machine Learning. Truly worth the time for learning.

By Hamza M

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Sep 13, 2024

i was a wonderfull experience to learn machile learning so flawlessly from Andew NG sir

By Lukman A

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Jul 26, 2023

Left this course enthused with Machine Learning and excited for the huge possibilities.

By Debbie S

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Jun 25, 2023

This course is excellent. Excellent explanations along with excellent videos and labs.

By Dominique C

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Apr 4, 2023

great course, Andrew Ng is still very clear and it's a great pleasure to learn with him

By Greg D

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Dec 1, 2022

Required allot of homework to understand the foundations but well worth it in the end !

By Matthew Z

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Nov 11, 2022

Great course! Loved the parts of Recommender Systems and Reinforcement Learning a lot!

By Siva P N

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Mar 22, 2023

I love the course arrangement and framing of the visual learning for gradient descent

By Ali A M

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Oct 10, 2022

Best course to learn the basics of Unsupervised Learning and Reinforcement Learning.

By Morteza M

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Jan 14, 2025

Amazing course, i just learned all the topics from this course. Thank you Andrew Ng!

By Daniel L

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Apr 19, 2023

helped me grasp concepts in a way I would not have been able to without this course.

By Dominik M

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Jan 10, 2025

Really engaging course with interesting, interactive notebooks to apply the theory.

By Yue W

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May 6, 2024

Andrew is such a brilliant and patient teacher, I want him to make more courses !!!

By Abdul J K

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Oct 1, 2022

Excellent course with a bit more complex techniques compare to supervised learning

By Alexandre R

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Aug 17, 2023

Perfect to sharpen your skills in Machine Learning, Andrew is great as a teacher !

By Onuorah M O

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Nov 11, 2022

A very interesting course to undertake for intending AI and Data science engineers

By Adekeye D L

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Jan 17, 2025

This course is awesome and i must say i have achieved a milestone in this course.

By Sal T

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Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

By Michael R

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Nov 1, 2023

One of the warmest and knowledgable instructors I've ever had! May God bless him.

By Dolrie S

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Apr 12, 2023

well spent and a good teacher is not about the material but the way they teach us

By Maurizio A

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Feb 11, 2023

Simply fantastic! Thank you to all professors and authors of this specialization.

By Koustav P

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Sep 15, 2022

Very detailed. Fortunately I work in this domain so found it easier to complete.

By David C

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Apr 11, 2023

Es amigable aunque no se tengan tantos fundamentos de matemáticas o programación

By R.M. R

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Jan 24, 2024

Excellent course to understand maths and science behind Reinforcement Learning.

By Kashif M

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Oct 15, 2023

Great to learn unsupervised learning especially DRL and the mathematics behind!