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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: 鈥� Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. 鈥� Build recommender systems with a collaborative filtering approach and a content-based deep learning method. 鈥� 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鈥檚 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鈥檙e 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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401 - 425 of 710 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Priyanshu P

鈥�

Feb 2, 2024

Amazing course, Thank you Andrew sir馃檹馃檹

By Ojas P

鈥�

Aug 25, 2023

Truly Exceptional, a very big Thank You!

By Haya K

鈥�

Oct 29, 2022

Much better learning resources. Thanks!

By Mat铆as B

鈥�

Feb 29, 2024

The learning path is very well thought!

By Ayush K

鈥�

Dec 8, 2024

This course is phenomenal for starters

By Chu, Y

鈥�

Jul 22, 2024

Great course for unsupervised learning

By Parsa N

鈥�

Jun 23, 2024

I love Reinforcement Learning section!

By JUAN P P A

鈥�

Sep 10, 2023

Excellent content with the best mentor

By Data i n B

鈥�

Jul 9, 2023

The best machine learning program ever

By April 3

鈥�

Feb 23, 2023

Great course on reinforcement learning

By Yakov K

鈥�

May 22, 2024

Amazing quality and clarity, as usual

By Sol C P S

鈥�

Dec 13, 2024

The best online course I have taken!

By Madhav M

鈥�

Sep 26, 2024

Thanks to all the team of Andrew NG.

By hoanghero 1

鈥�

Mar 19, 2023

Easy to understand, useful knowledge

By Tajuddin M

鈥�

Aug 19, 2022

Awesome explanation of key concepts.

By Fabio A T

鈥�

Nov 20, 2024

super Teacher and very good course.

By SONIBARE A

鈥�

Aug 23, 2024

Most educative. Thank you 糖心vlog官网观看.

By Jihan K

鈥�

Mar 26, 2023

informative, and easy to understand

By Reza A

鈥�

Oct 19, 2022

It's great course. Thank you Andrew

By Srivatsav K

鈥�

Oct 21, 2024

Good for absolute beginners in ML.

By Amos P

鈥�

Jan 11, 2025

Well structured and easy to learn

By Wilmer R V

鈥�

Apr 20, 2024

Muy bueno, explicativo y pr谩ctico

By Sohag H (

鈥�

Jan 9, 2024

learn a lot. love from Bangladesh

By Xuesong T

鈥�

Jan 7, 2024

very useful course! Thank Andrew!

By Boikhutso M

鈥�

Nov 29, 2023

Very well structured intro to ML,