Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI

4.9
stars
3,929 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

CL

Jun 30, 2024

Good pace and really well-designed for those who are total strangers to machine learning. I could follow along quite easily and looking forward to try out some of those algorithms on my own free time.

Filter by:

201 - 225 of 621 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By darius t

•

Jan 11, 2024

Challenging course giving a great overview as well as a deep dive into the fundamentals of machine learning

By Kerstin D

•

Apr 10, 2023

Fantastic course! Very well thought out and super valuable. The lectures are excellent and so are the labs!

By Arushi G

•

May 21, 2023

Excellent course gave me a good grasp on the topic and interested me more to learn about machine learning.

By Krishalika R

•

Sep 17, 2022

A good course. As a beginner to ML, this was very helpful for me to understand machine learning concepts,

By K M

•

Oct 3, 2024

Absolutely must-go material. (You need to find exercises on your own as it doesn't have many assignments)

By Rashmi M

•

Mar 7, 2024

This course series is very helpful for those who are interested in ML & AI field to get domain knowledge.

By Andy W

•

Nov 19, 2023

Excellent lectures and hands-on lab assignments. I felt engaged from the start to the end of the course.

By Arvydas Ž

•

Dec 23, 2022

Recommenders is not a very often taught technique but I think is the most compelling part of this course.

By Bruno R S

•

Jul 30, 2022

Very few courses explore the insides of Unsupervised Learning and Reinforcement learning like this one.

By Tianyue P

•

Jun 13, 2023

Great course, great explanation on what unsupervised learning, recommenders, reinforcement learning is.

By Kashish m

•

Mar 19, 2023

An excellent course and specialization to start machine learning with! Thank you to Andrew NG and team!

By Muhammed E B

•

Nov 30, 2024

I really love this course. Andrew NG taught me a lot of new things. I hope I can be someone like him.

By Waseem K

•

Nov 28, 2022

Just as other courses by Andrew Ng, it is another well-structured course. I am grateful to the tutor.

By Namhoang

•

Nov 19, 2023

Thank you for making a good course. The concepts are well explained with lab to see how things work.

By Nitin C

•

Apr 2, 2023

Andrew is too good at explaining difficult concepts with such ease. I extremely enjoyed the course !

By Chidiebere N

•

Oct 13, 2022

I really enjoyed every bit of it and feel like I know the basics of machine learning. Thanks, Andy.

By Subodh S

•

Aug 6, 2023

i am very thankful to all the team members for such a great course for a non CS student. thank you.

By Yu-Cheng C

•

Nov 5, 2022

Thanks to this course, it helps me build rock solid and established good concepts in deep learning.

By 苏Jack

•

Jul 19, 2024

Definitely one of the most valuable courses to build a fudamental on the field of machine learning

By Daniel O V

•

May 25, 2024

Great course, I've learned so much. I'll be taking additional courses to deepen the knowlege in AI

By Yhobany M G

•

Oct 23, 2022

Excelente curso para todos aquellos que estamos iniciando en el mundo del Aprendizaje Automatico.

By Azis M

•

Mar 4, 2023

This course were explain in a way that the student can easily understand it from real world cases

By Prasanna

•

Sep 30, 2022

Thank you Andrew, enjoyed all sessions!. Sincere thanks to all for designing this great course! 

By Adi B

•

Jul 26, 2024

Explanation was on point and concepts are crystal clear after solving labs and practice quizzes.

By Ramesh B J

•

Dec 28, 2022

I love the course. It helped me a lot. Thank you Mr. Andrew Ng for making me learn step by step.