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

4.9
stars
2,492 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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26 - 50 of 442 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Deepak R D

Feb 20, 2023

This is one of the best courses in Machine Learning for topics on Unsupervised Learning and Reinforcement Learning. Andrew NG is one of the best teachers who can make many complex topics more easy to comprehend and at the same time make sure the technical side of things is also delivered. I would recommend this course to anyone who has completed the previous 2 courses in the specialization. The practical examples covered and the help from DeepLearning community is very valuable. Have a great learning experience. Thank You.

By Amar K

Jul 19, 2023

This course and in fact the whole specialization is a deep introduction to Machine Learning for beginners. It is detailed and yet a lot of fun because Andrew breaks down these difficult algorithms in to simple and intuitive parts and the practice labs are a great way to get introduced to the algorithms and how they are applied practically. In short this Machine Learning specialization is a definitely a great entry point for beginners. Good job Coursera, Deeplearning.AI and Stanford !

By BINIT K

Oct 20, 2023

This course helped a lot to give a foundation of unsupervised learning, recommendation systems and reinforcement learning. The best part of this course was its last module where they taught us to land a rover in moon. It was fun and a great way to learn about reinforcement learning. I would like to express my thanks to the lecturer and all the personnel who made this course possible. I know I have a foundation on above mentioned topics and I can make a great start from here.

By DEEP V S

Jan 2, 2023

Amazing assortment of videos. Just one STRONG suggestion. the last graded lab in week three, based on reinforcement learning has a shortcomming that it uses graph tensors. this really messes up the code and makes it hard to use. Infact i myself dedicated three hours to debugging it to realise, that the tensors used in the code are modified and cannot be converted to numpy arrays. This made it impossible to code for it. please look into this matter. Thankyou

By Silin A I

Apr 29, 2023

I was very surprised how such complex things as machine learning algorithms can be explained so clearly. It was a real joy to learn new things from this course. All the material is explained from the very basics and then as a result an entire picture of how everything works is formed. Thanks to Andrew and all the team who was working on this course for their super ability to train not only machines, but people too and to make a world a better place!

By Arios T

Feb 21, 2023

The best ML course ever made, especially course 1 and course 2. Super helpful not just tell you how to use the model but also walk you through all the details and logic behind each model. Thank you Andrew! I didn't try hard in my college time and missed the chance to attend Stanford grad school, but it is great being a virtual student of yours. I wish you and your team all the best, and it is so blessed for us to have you in ML industry!

By Vidya S

Oct 10, 2022

Thanks a lot to the entire course team. This course along with all the 3 courses machine learning specialization was a great introduction to Machine Learning. Admired the perfect pace at which the training was delivered and thanks for all the practice lab and quiz sessions. Learnt also the way to train,present the content and neatly and duly acknowledge the efforts of the contributors and the learner . Great course and team. Thank you!

By James P

Aug 1, 2022

Great introduction to three difficult topics. Overall the specialization quizzes/assignments have been a light touch. The unsupervised and recommender weeks were a little tougher while reinforcement learning was definitely a friendly introduction with a fun assignment. Great instruction and clearly a lot of time invested into making interesting assignments (very much appreciate the change to python from octave).

By Jennifer H

Aug 13, 2023

I'm pretty new to coding, so that part was a bit advanced for me, but overall it was amazing. I can't believe how much I learned in the last couple months! This specialization has rekindled my love for math. I'm both fascinated by and terrified of where AI is headed, so being armed with real understanding of how machine learning works is very important to me. Now I just have to figure out my next step. Thank you!

By Jimmy L 梁

Feb 7, 2023

Big name on this course! While you will be further impressed only you learned from details and reload some detail steps. I strongly recommend people to learn even you're just a commercial people in data, tech companies. For data analysis is very great but must to have 101 machine learning course which are not only incl. tech and ML but also integrated biz sense in many case studies and sharing during the courses.

By Harshil H V

Aug 16, 2023

Very Useful Content from the basics and way to studying things is unique by choosing the real-life example and application and hands-on practice by given me the opportunity to use lab section. Every things are well drafted in lab also and lecture also. I want to say Thank you much team Coursera and Specially Andrew for give me such great opportunity for forward stepping my career. Again thank you very much ....

By Måns W

Feb 22, 2023

Very good course for a strong foundational understanding of machine learning. I feel very greatful that courses like this are even available for people like me and I will definitely continue to take other courses provided by Andrew. A very comfortable and friendly person who also provides explanations in a way that makes me understand concepts I didn't think I would be able to understand.

By Austin S

Aug 5, 2022

This was an amazing first course to take. I was originally taking the original Machine Learning course when this came out. I switched and it was a very welcome change. Using Tensorflow and Python instead of Octave/Matlab was nice and getting to learn from all the advances was really cool. The interactive notebooks made learning really fun and much easier to get my hands on the material.

By Mohamed J

Oct 21, 2022

This course (along with the other two in the Machine Learning specialization series) is the best course to learn about Machine Learning topics like unsupervised learning, recommenders and reinforcement learning and #BreakIntoAI. Sir Andrew Ng is the best ML teacher ever and I thank him and his team for having provided me with such a great opportunity to learn. Thank You !!!!

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 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 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!