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Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
4,596 ratings

About the Course

In the third course of the Machine Learning Specialization, you will: 鈥 Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. 鈥 Build recommender systems with a collaborative filtering approach and a content-based deep learning method. 鈥 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鈥檚 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鈥檙e 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

AS

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

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!

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126 - 150 of 709 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

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 17, 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 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!

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 Matthew W

Dec 13, 2024

Andrew was a great teacher, explaining complicated topics in a simple and intuitive way. The programming assignments helped to put theory into practice. A great place to start learning a new field!

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 14, 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 靹滌榿順

Nov 30, 2024

毵庫潃瓯 氚办毟 靾 鞛堨棃鞀惦媹雼.. 靷嫟 ai 甏霠暣靹 鞏措枻 靷梾鞚 靸濌皝頃橁碃鞛堨姷雼堧嫟. 鞚挫牅攵韯半姅 臧氤胳爜 鞐嗠姅 旮胳潉 頃挫硱雮橁皜霠り碃頃╇媹雼. 膦嬱潃 臧曥潣毳 霌j矊 頃挫<鞁 雿曤秳鞐 霊愲牑鞗瓿 靹る爤鞛勳澊 頃粯頃╇媹雼. 鞎勲 瓿犾瀾 鞚疙劙雱 臧曥潣 霌j碃 順检瀽 毂呾潉 氤措┌ 瓿惦秬頄堧嫟瓿 靷瀸霌れ澊 氍挫嫓 頃 靾 霃 鞛堧姅 旮 臧欖姷雼堧嫟. 頃橃毵 氚办毚雮挫毄鞚 鞚挫毄頃挫劀 頉勴殞 鞐嗠弰搿 霃勳爠頃橁矤鞀惦媹雼.

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 14, 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 Russ S

Feb 28, 2025

Andrew is a great teacher. This material can be quite challenging, but his calm demeanor helps you take the first steps mastering the material. Will definitely take more of his classes.

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 Manoj K

Feb 5, 2025

This course covers machine learning algorithms from basic to advanced levels, enhancing skills in both theoretical understanding and practical applications of reinforcement learning

By Rahul J

Sep 28, 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 11, 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 28, 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.

By Vernon B

Nov 27, 2022

Great job to Andrew and crew! It would have nice to have a primer on Python and Numpy vector operations for this course. Oh well, I needed to learn Python sooner or later!

By Michal S

Sep 26, 2022

Extremely insightful and very well organised course with a lot of practical examples. I would recommend it to anyone that wants to start their career in machine learning!

By Chandana P

Mar 3, 2023

Gem of a course. Andrew has a lot of patience and is highly skilled, no wonder he's called a global leader of AI. He made sure that every knit and grit topic was covered.

By Muhammad H

Oct 7, 2024

That was A great Specialization I have learned so many things so many thanks to Mr. Andrew for his sharing and giving all the power and knowledge that gives in that 鉂わ笍馃尮