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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
2,670 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

RD

Sep 16, 2022

great introduction to machine learning. I tried to self study before but it didn't work and thanks to this course I did understand now a bunch of things I cant wrap up my head with. Thank you for this

AM

Mar 10, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

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451 - 463 of 463 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Abhinav P

Jan 7, 2024

wish it were more implementation focused

By Vivek J

Jul 2, 2023

Best for begineers and little advance

By Kateryna K

Mar 15, 2023

I would do more challenging labs

By Jimmy R

Dec 6, 2023

Great stuff, learned a lot.

By vinod t

Aug 26, 2022

good.

By Javier G G

Dec 29, 2023

One the positive side, the course materials are well explained and up to date. As a negative point, the practical labs are not really challenging, with only a few lines of code to be written, the rest is already given - this leaves up to the student to take the time to go through the rest of the code to really understand the methodology.

By Gerry P

Feb 18, 2023

weakest of the 3 courses

hardly any optional labs, the graded practice labs were too easy

By Basabdatta P

Apr 19, 2023

The course is pretty dragged and uninteresting excepting for week 3.

By Sumit S

Nov 14, 2022

good experience

By Lincoln S

Feb 22, 2024

Out dated code used so if you want to follow along you cannot. So many other concepts not covered in the videos requiring you to self learn. That defeats the purpose of doing this course, which is supposed to teach you. Coursera community advisors are not paid?? If this is so then shame on Andrew Ng as this course must rake in a lot of money. Maybe take some of this money and pay the community staff and pay someone to update the code. Disappointed.

By Pranav G

Apr 2, 2023

i didnt get to avail my certificate, though it was showing last submission date as 2nd april, i cant submit on 2nd and couldnt get my certificate

By Vivian P

Mar 27, 2024

Class does not exist- the links do not work

By Harsh S

Jun 21, 2023

good course