Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

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

4.9
stars
3,022 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

AV

Invalid date

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

JT

Invalid date

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!

Filter by:

201 - 225 of 510 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Lukman A

Jul 26, 2023

Left this course enthused with Machine Learning and excited for the huge possibilities.

By Debbie S

Jun 25, 2023

This course is excellent. Excellent explanations along with excellent videos and labs.

By Dominique C

Apr 4, 2023

great course, Andrew Ng is still very clear and it's a great pleasure to learn with him

By Greg D

Dec 1, 2022

Required allot of homework to understand the foundations but well worth it in the end !

By Matthew Z

Nov 11, 2022

Great course! Loved the parts of Recommender Systems and Reinforcement Learning a lot!

By Siva P N

Mar 21, 2023

I love the course arrangement and framing of the visual learning for gradient descent

By Ali A M

Oct 10, 2022

Best course to learn the basics of Unsupervised Learning and Reinforcement Learning.

By Daniel L

Apr 19, 2023

helped me grasp concepts in a way I would not have been able to without this course.

By Yue W

May 6, 2024

Andrew is such a brilliant and patient teacher, I want him to make more courses !!!

By Abdul J K

Oct 1, 2022

Excellent course with a bit more complex techniques compare to supervised learning

By Alexandre R

Aug 17, 2023

Perfect to sharpen your skills in Machine Learning, Andrew is great as a teacher !

By Onuorah M O

Nov 11, 2022

A very interesting course to undertake for intending AI and Data science engineers

By Michael R

Nov 1, 2023

One of the warmest and knowledgable instructors I've ever had! May God bless him.

By Dolrie S

Apr 12, 2023

well spent and a good teacher is not about the material but the way they teach us

By Maurizio A

Feb 11, 2023

Simply fantastic! Thank you to all professors and authors of this specialization.

By Koustav P

Sep 14, 2022

Very detailed. Fortunately I work in this domain so found it easier to complete.

By David C

Apr 11, 2023

Es amigable aunque no se tengan tantos fundamentos de matemáticas o programación

By R.M. R

Jan 24, 2024

Excellent course to understand maths and science behind Reinforcement Learning.

By Kashif M

Oct 15, 2023

Great to learn unsupervised learning especially DRL and the mathematics behind!

By Sandile T

Jul 27, 2023

Learning Reinforcement at a scientific level, coupled with real life projects.

By George H

Jul 15, 2023

Excellent course. Explanations and examples are didactic. I strongly recommend.

By Tim L

Jun 24, 2023

The course help me understand unsupervised learning very well. Thank you Andrew

By Tim N

Feb 15, 2023

A very good background into a wide range of areas relating to machine learning

By Thinh T D

Jan 2, 2024

This is a great course, explain detail everyone can learn! Thank team a lots!

By Pascal U E

Sep 11, 2022

The best of his kind, I am not a newby in ML, but I was able to learn a lot !