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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
4,224 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

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!

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

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126 - 150 of 665 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

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 서영호

Nov 30, 2024

많은걸 배울 수 있었습니다.. 사실 ai 관련해서 어떤 사업을 생각하고있습니다. 이제부터는 가본적 없는 길을 해쳐나가려고합니다. 좋은 강의를 듣게 해주신 덕분에 두려움과 설레임이 함께합니다. 아마 고작 인터넷 강의 듣고 혼자 책을 보며 공부했다고 사람들이 무시 할 수 도 있는 길 같습니다. 하지만 배운내용을 이용해서 후회 없도록 도전하겠습니다.

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 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 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 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 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.

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 6, 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 ❤️🌹

By Ryan A

Feb 26, 2024

Great way to get an introduction into ML/AI. Linear Algebra knowledge would help better understand the math, but is not required to complete this course. Thanks again!

By yazan s

Sep 16, 2023

This is by far the best course i have ever taken and I am not talking about just ML courses. defiantly recommended for people want to start their journey in AI and ML.

By Joseph D

Jun 8, 2023

This course is both informative and accessible, incorporating the latest machine learning techniques. It is extremely beginner-friendly and well worth recommending.

By Jaime J C C

Dec 6, 2023

As a new learner about reinforcement learning I would recommend this course absolutely; it starts from foundations and increases in difficulty in the next videos.

By Chandan K

Jun 4, 2023

Andrew Ng is a great teacher. He makes learning so much easy even on complex subjects. Learnt a great deal about ML and particularly about Unsupervised Learning.

By Prashanna B

May 16, 2023

The concepts were all explained clearly and with good examples! I recommend this course for anyone wanting the theoretical foundation to begin their ML journey.

By Palash s

Jan 21, 2024

Wonderful course. Loved the teaching ...gained a really good insight..and proficiency with non labeled data. A must course for all machine learning enthusiasts