Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
3,684 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

JT

Jun 7, 2024

Recommender Systems, Reinforcement Learning culminating in teaching a simulated Lunar Lander to land itself! I bet SpaceX something similar for the 'real' starship landing; it's much more complicated!

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:

101 - 125 of 592 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Rodrigo V B V

Nov 27, 2022

It was a real pleasure to learn from Andrew Ng and capture some of his passion for teaching and for Machine Learnig. A must do course. Even for those who are already initiated in the Machine Learning path.

By Nihaz N

Nov 12, 2023

Felts so excited to keep on going with the course and my interest to learn ML has drastically increased. Thank You , Andrew and thanks to all of the individual who worked so hard to organize such a course!

By Venkata S R

Feb 22, 2023

Amazing course. Prof Andrew was just brilliant; I did not expect that this course could pack so much content into just 9 weeks - initially it looked so light. Prof Andrew is a great teacher. Thank you Sir.

By Sohel A

Jan 7, 2023

Awesome!!!

The course is well-structured and interesting. I was totally new to all these concepts but after going through them I'm feeling very much confident and happy.

Thank you, instructors for this couse

By Mahdieh E

Jan 15, 2023

It was an unparalleled opportunity to study and finish this great course. I am genuinely grateful to you all in deep learning.AI and Coursera platform for spreading scientific knowledge without borders.

By Sudharsan

Aug 15, 2022

A very good introductory course in Unsupervised learning. Covers the basic concepts of Recommender and Reinforcement Learning well. Thanks to Andrew Ng and team for developing and delivering this course

By Rafael J D

Sep 17, 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

By CK L

Jul 1, 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.

By Jeremy T

Jun 8, 2024

Recommender Systems, Reinforcement Learning culminating in teaching a simulated Lunar Lander to land itself! I bet SpaceX something similar for the 'real' starship landing; it's much more complicated!

By Bryan C

Aug 16, 2023

This class is so informative and so enriching! I recommand everyone to follow this class in order to understand in depth what is behind Unsupervised learning, I feel like I can now do great projects!

By Susanne B

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!

By ashish s

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

By Abdullah-Al M

Mar 11, 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.

By Maria d C L L

Dec 13, 2022

The whole specialisation is a great quick review of main topics. Proper learning requires deeper knowledge of algebra, calculus and python. But these courses are a fast, essential starting point.

By Takusuke F

Jul 18, 2023

I hope more and more engineers in Japan take this course.The joy of learning machine learning with the world's top lecturer far outweighs the pain learning the subject in the non-native language.

By Mohammad S

Dec 17, 2023

lecture videos, practical labs, and last video (conversations with andrew), all are awsome. Thank you for giving me a solid intuition about unsupervised learning and reinforcement learning

By Kwabena K A

Oct 13, 2024

This is an excellent introduction to supervised learning and reinforcement learning. It's an excellent course for any beginner in this field. Very easy to follow and very much enjoyable!

By Hamza Z

Jul 22, 2024

Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

By Rahul J

Sep 27, 2022

clear, concise, well explained and best labs. this course is best starter for machine learning ( unsupervised).

thank you for Andrew Sir, and whole team for sharing your knowledge.

By Meghna P

Sep 10, 2023

I found the course very interesting and especially the lab-notebooks. Very creative lab assignments- good and easy to follow by non-programmers also like me. Thank you to all!!

By steve w

Sep 12, 2023

Excellent course, which lead me into the arena of machine leaning and AI . It is very useful for my new software development project related to Call Center user issue diagnosis .

By Jerry C

Dec 27, 2022

Outstanding! The content was comprehensive and well-taught, and the labs and quizzes reinforced the content. Andrew Ng and his team deserve the highest compliments and accolades.

By Safiira R L

May 10, 2023

This course is so amazing. the explanation is very clear and so detailed, the explanation is also simple and easy to understand, I got a lot of new insights from here. Thank You

By Venkat S

May 27, 2024

Andrew Ng explains these difficult concepts and breaks it down well for a new student. There could have been more practice labs for Reinforcement Learning before the final Lab.

By Muhammad N S

Sep 9, 2023

The explanation of each concept is easy to understand. The most interesting part is the reinforce learning which makes this course very complete and different from the others.