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:

51 - 75 of 621 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Rizal m M P

Sep 30, 2022

In this beginner friendly course, Andrew taught the basic Machine Learning learning concepts in an easier to follow manner. The videos cover Mathematical intuition behind many of the basic machine learning algorithm, while the practice labs helps you to implement them. Thanks to Andrew and rest of the team for this amazing introductory course to Machine learning. Thank You...

By Ankit K

May 19, 2024

The course covers a very broad spectrum of working of Machine Learning Algorithms with all of the mathematical concepts required to have an extensive understanding of Machine Learning Algorithm, the course is very well paced and the talent of Andrew Ng to deliver each and every idea that he has is what makes this course very well for any type of learner, Thank You Andrew Ng.

By Devinder K

Oct 27, 2022

I would like to thank all the members of Coursera for designing this course, especially Dr. Andrew Ng for teaching such complex stuff with much clarity and with fun-based activities (videos and labs). I really like the tools you used for the demonstration purpose (e.g. the toys of your daughter :))

I hope to make the best use of this learning.

Thank You once again.

D_Kaur

By AustinQi

Jul 31, 2022

A sincere thanks to Andrew and all Deep learning AI crew, you guys/gals are the light of machine learning community.

I have a kid of 3, cant wait to introduce all your guys hard work to him someday in the future. Maybe (hopefully not) he is not interested in these topics, but the thing I want him to know is " how to define good people", my answer is "they share and care".

By Baiwei Z

Aug 12, 2022

Andrew is an excellent instructor who can break down complicated concepts into pieces that are much easier to understand. I enrolled both Machine Learning course (the old version) and Machine Learning specialization (latest version) and found both of them entertaining and informative. Hopefully I will learn more about AI from courses provided by Andrew in the future!

By Jaime A C

Nov 29, 2022

I've been previously exposed to recommender systems and reinforcement learning. However, I couldn't really understand what was going on underneath them. This course gave me the concepts and tools to understand how these algorithms actually work. Though these algorithms are a bit complex, I feel better prepared to upskill myself in using these tools. Thank you!

By Edi W

Apr 4, 2024

Good course. I learn balanced amount of theoretical and practical knowledge in Machine Learning. This course equips me extravagantly to wide range of knowledge in machine learning. However, there is no in video quizzes which I believe useful to check my knowledge before graded quizzes. Overall, I satisfied with the course and very recommend this to others.

By Sudip S C

Oct 1, 2022

Outstanding set of courses.

My only criticism is that it is not at all clear how/where to download the lecture slides or the files for the programming assignments for ones reference later on or how to access the discussion forums - there are absolutely no links on any of the courses' pages.

Overall, the instruction quality and content are simply superb.

By Yasin A

Mar 18, 2023

With the last course of the specialization, I gained useful knowledge about machine learning techniques such as recommender systems or reinforcement learning, which are used in modern applications today. I think this specialization will be one of the best starters for those who are starting machine learning or want to improve their existing knowledge.

By Farjana B R

Feb 5, 2023

My interest in Machine Learning peeked after taking this course with Andrew. He is such a great teacher. He made the most difficult concepts easy to understand. I just have to keep practicing this course again once more to "reinforce' my learning. This specialization is a solid start for anyone who wants to break into Data Science and ML. Best Wishes

By Michelle H

Feb 4, 2023

Andrew Ng has an amazing talent of breaking down even the most complex topic to its core components, making it clear not only how it works, but also how, when, and why to implement different algorithms. Through diagrams and coding exercises, he has helped me to understand the processes of so many machine learning algorithms, and he made it fun.

By Uilian R F S

Jan 4, 2023

From the three courses of the Machine Learning Specialization, this one was the one most familiar to me, specially recommenders, which I've spent some time working with before. Same as the other two courses, good content and clear explanations. The support material for all the three courses are great also, something I forgot to mention before.

By Ammar K

Nov 28, 2022

This Beginner Level course provided a very interesting insight to machine learning & deep learning. The flow of the course is well structured, so I found all the topics really interesting throughout the course. I'd recommend this to anyone willing to start their machine learning journey and kudos to the authors and producers of this course!

By Darren N

Mar 13, 2023

Another terrific course with Andrew Ng, who continues to explain the topics very well, as well as adding discussion of ethical issues with Machine Learning and AI, which I really appreciate & think is incredibly important for everyone in this field to understand. I'm really looking forward to the next specialization with Andrew!

By Roya P

Jan 5, 2023

This course was like a breakthrough for me. It organized my knowledge of machine learning.

I loved Andrew's insistence on learning materials deeply, digging deeper into what's happening behind each model, and engaging with the math in a really really smooth, straightforward, and lovely way.

Many thanks to Andrew and his team.

By 21020517 N M H

Jul 18, 2024

I absolutely love how lecturer Andrew Ng guided me through the concepts and algorithms of Machine Learning. The simplistic way he explained the functions and concepts really showed that he's the top, the leading expert in this field. I'd love to thank him personally for this amazing learning experience. Andrew, you rocks!!

By Boris A

Sep 24, 2022

This is a great course,

Andrew Ng is the best lecuter, very easy to follow and a lot of great material.

I lead ML team and for me this was a great review.

Lab assignments are great!

The only issue I had was with replicating RL lab in my notebook envirionment because of external library packages but this is a minor issue.

By Hợp N X

Dec 17, 2024

Thank you to Professor Andrew Ng and his team for creating such an excellent and practical course. My heartfelt thanks to Coursera for providing numerous courses, enabling people around the world to access the best materials taught by top professors, contributing to a fairer and better world. Deeply grateful. (🌸)

By Kartik A

Aug 7, 2024

I want to extend my heartfelt thanks for broadening my horizons about robotics, reinforcement, and unsupervised learning applications. Your guidance and support have truly made a significant impact on my understanding and knowledge in this field. I am incredibly grateful for your valuable insights and assistance.

By HARRY

Feb 14, 2023

Superb course. I'd already completed the early course, Machine Learning. This updated course contains some very valuable additions that made "re-doing" the course very worthwhile, especially the reinforcement learning aspects. It was incredible to witness the training, learning and landing re the lunar lander!

By Carla P

Dec 10, 2022

Es exclente! la profundidad de los temas es único. Tanto este curso como la especialización completa es muy completa. Creo que es una especialización obligada y fundamental para formarse en Machine Learning. Gracias Andrew y equipo por darnos acceso a estos materiales que de otra forma sería imposible aprender.

By Saeed V

Jan 14, 2024

The course was excellently structured, and the hands-on practice labs provided a valuable coding experience. Special thanks to Professor Andrew Ng and the entire Coursera and deeplearning.ai team for this fantastic learning opportunity. Highly recommend it for anyone interested in diving into machine learning.

By Han

Apr 5, 2023

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

By Jeby C

Sep 2, 2024

Absolutely awesome course. Andrew is a great teacher. He makes very complex topics very simple to understand. I love the way he focuses on building intuition on what is driving the algorithms. I have recommended this course to a lot of my colleagues. Truly wonderful experience! My deepest gratitude.

By Ali Z

Jul 26, 2024

Unsupervised Learning, Recommenders, and Reinforcement Learning on Coursera was a comprehensive course that delved into advanced topics with clarity. Andrew Ng’s expert teaching made complex concepts accessible and engaging. The practical applications and in-depth insights were incredibly valuable.