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

4.9
stars
3,000 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

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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

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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!

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176 - 200 of 507 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Arvydas Ž

Dec 23, 2022

Recommenders is not a very often taught technique but I think is the most compelling part of this course.

By Bruno R S

Jul 30, 2022

Very few courses explore the insides of Unsupervised Learning and Reinforcement learning like this one.

By Tianyue P

Jun 13, 2023

Great course, great explanation on what unsupervised learning, recommenders, reinforcement learning is.

By Kashish m

Mar 19, 2023

An excellent course and specialization to start machine learning with! Thank you to Andrew NG and team!

By Waseem K

Nov 28, 2022

Just as other courses by Andrew Ng, it is another well-structured course. I am grateful to the tutor.

By Namhoang

Nov 19, 2023

Thank you for making a good course. The concepts are well explained with lab to see how things work.

By Nitin C

Apr 2, 2023

Andrew is too good at explaining difficult concepts with such ease. I extremely enjoyed the course !

By Chidiebere N

Oct 13, 2022

I really enjoyed every bit of it and feel like I know the basics of machine learning. Thanks, Andy.

By Subodh S

Aug 6, 2023

i am very thankful to all the team members for such a great course for a non CS student. thank you.

By Yu-Cheng C

Nov 5, 2022

Thanks to this course, it helps me build rock solid and established good concepts in deep learning.

By Daniel O V

May 25, 2024

Great course, I've learned so much. I'll be taking additional courses to deepen the knowlege in AI

By Yhobany M G

Oct 23, 2022

Excelente curso para todos aquellos que estamos iniciando en el mundo del Aprendizaje Automatico.

By Azis M

Mar 4, 2023

This course were explain in a way that the student can easily understand it from real world cases

By Prasanna

Sep 30, 2022

Thank you Andrew, enjoyed all sessions!. Sincere thanks to all for designing this great course! 

By Ramesh B J

Dec 28, 2022

I love the course. It helped me a lot. Thank you Mr. Andrew Ng for making me learn step by step.

By Chandan A

Aug 17, 2022

Fantastic illustration and great explanation..loved the specialization..Thank you Andrew NG Sir.

By Rakibul H R

Oct 27, 2023

This is true that I have a strong passion in lunar lander. I have enjoyed that in this course.

By Sravana K K

Jun 13, 2023

Loved everything about this course. The materials are thoughtfully designed and easy to follow.

By Dherick J P

Apr 22, 2023

Great Course. Andrew Ng is such a wonderful professor. He explains the concepts very carefully.

By yeoh j w

Sep 18, 2022

This is really a great course for those who wish to start embarking on the ML journey! love it

By Francisco S A

Aug 3, 2023

Again a masterclass on how to introduce such a complex topic. Thank you Andrew and your team!

By Gao

Mar 4, 2023

very enlightening courses! I found my mastery of the machine learning improved significantly!

By Daniel M

Sep 19, 2023

I am just grateful to the team for helping me and millions of other students out. Thank you!

By Marcelo P S

Mar 26, 2023

An excellent course, very updated and with real examples to be applied in professional life.

By gautam g

Sep 2, 2022

Excellent Course for beginner to learn Machine Learning. Truly worth the time for learning.