Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI
About the Course
Top reviews
AS
Jun 2, 2025
this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .
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!
126 - 150 of 826 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning
By anup
鈥Sep 25, 2022
Thanks for the awesome foundation with practical understanding. Thanks Andrew for getting me fascinated by what ML can do. Thanks to the entire course team for all the work that went into this, and doing a fabulous job!
By Carlos G
鈥Sep 9, 2022
This is the best course I have taken. It sparked my interest and It was very touching how Andrew Ng concluded this specialization. I hope more people can enroll in this specialization to learn about machine learning!
By Shunmugam
鈥Jul 31, 2024
This course not just helps us to learn the concepts but also focuses on improving our interest in working and creating further advanced model mainly in areas of Reinforcement learning. Loved the work :) Thank for it
By Javier A
鈥May 25, 2023
I am extremely grateful to the great 糖心vlog官网观看 team for the way you are enriching and inspiring the world. Thanks a lot!!!!!!!!!
The format, insights, practice labs, time-consuming.... extremally well done!!! Perfect.
By Lucas C
鈥Aug 6, 2024
Andrew follows a very intuitive approach to teaching and has a great teaching style of starting with basic examples and visualizations to build a foundation before diving into the more complex and applied problems.
By Mohammadreza R
鈥Mar 19, 2023
Incredible course. Very insightful lectures and excellent presentation. Just hoped that the course would focus a little more on the practical issues and that the labs would display codes on areal dataset. Thankyou
By Brooks J
鈥Aug 8, 2022
Not only did I get a tremendourse from this course, I'm thinking about how to reinfoce my own learning, with the tradeoffs that suggests between immediacty and payoff, as well as introduce a touch of randomness.
By Roberto O
鈥Aug 19, 2025
Excelente oportunidade de aprender com um dos melhores instrutores da atualidade. Gostei bastante da forma como o curso foi apresentado. Ganhei confian莽a para seguir meu caminho. Obrigado, Professor Andrew Ng.
By Anirudh N
鈥Aug 20, 2024
Great course and very informative and helpful for beginners getting into machine learning. Would recommend completing the entire specialization series of 3 courses. Thank you for providing such a great course.
By si w
鈥Feb 12, 2025
Deep appreciation for such a well organized course with deep knowledge covering a broad range of topics. Instructor is amazing at explaining the concepts. Upon completing this course, I really feel empowered.
By Kyawt E W
鈥Aug 13, 2024
Sir Andrew Ng is second to nothing in teaching such advanced technology. If it weren't his lectures, I would have given up on ML since the beginning. 5 out of 5 ever and Thank you for your insightful lectures
By TR峄孨G N
鈥Mar 27, 2023
This course is absolutely helpful for me to understand the concepts behind machine learning algorithms and libraries that are considered as black-box for many people.聽I've finished the course within 2 weeks.聽
By Rodrigo V B V
鈥Nov 28, 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
鈥Nov 13, 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
鈥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
鈥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 Lee_Infinitee
鈥Feb 2, 2025
its pretty good overall, especially for the simulation in the last week. but the recommend system is a bit heavy and hard to understand / visualize. but i still think its great! thanks! / print (" :) ")
By Mahdieh E
鈥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 糖心vlog官网观看 platform for spreading scientific knowledge without borders.
By Sudharsan
鈥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 V E G
鈥Jun 13, 2025
I think there is no other course for free that gives insight to this depth on this planet Andrew sir if i get an intern/placement in this field i will be great full to your teaching sir even if i don't
By Rafael J D
鈥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
鈥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
鈥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 AKSHIT S
鈥Jun 2, 2025
this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .