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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
3,781 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

CL

Jun 30, 2024

Good pace and really well-designed for those who are total strangers to machine learning. I could follow along quite easily and looking forward to try out some of those algorithms on my own free time.

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

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576 - 600 of 605 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Santosh R

Jul 1, 2024

All the contents were excellent except reinforcement learning. The videos seems very less and not very understandable.

By Aminreza N

Nov 7, 2024

thanks for the course, I just feel in some subjects we could deep more to the mathematical aspects of subject.

By Raghavendra N

Aug 2, 2022

Great course on understanding key machine learning techniques without getting too deep into the mathematics.

By jaime k

Sep 1, 2024

It felt a little rushed compared to the previous 2 courses. Still really good, but it doesn't go as deep.

By Marc A

Jun 5, 2024

The labs are not very challenging, maybe some more coding would help to understand more material.

By Derk v G

Dec 15, 2022

Nice content, the speed of speaking was a bit slow. Fortunately I could watch at 2x the speed.

By Miguel M

Jul 16, 2024

It's a good course for complete beginners, but a bit lacking in practical exercises

By Alejandro S

Jul 9, 2023

The course needs more application excersices and no just the theory of the concepts

By Yash B

Dec 29, 2022

great course but practice labs weren't challenging nor tested material well

By Janardhan P P

Jan 24, 2024

few topics were little complicated , specially reinforcement algorithm

By Mario

Feb 16, 2023

great course and content

The reinforcement learning part can be better.

By Hrishikesh K

Nov 9, 2024

It would have been better if the assignment were a bit more tough.

By Mayank D

Dec 10, 2023

the practice assignments were very disturbing and took lot of time

By Wassim R

May 31, 2023

Thank you.

I suggest adding more optional labs before practie labs.

By vaibhav v

Mar 30, 2024

I think the exercises could be a bit more challenging

By Nathan H

Oct 16, 2023

great foundational course with the fundamental math

By Manu C

Nov 19, 2024

Me gustaría que hubiera mas ejercicios prácticos.

By Vasanthan B

Aug 20, 2024

Excellent curriculum for AI/ML beginners.

By Abhinav P

Jan 7, 2024

wish it were more implementation focused

By Vivek J

Jul 2, 2023

Best for begineers and little advance

By Kateryna K

Mar 15, 2023

I would do more challenging labs

By Jimmy R

Dec 6, 2023

Great stuff, learned a lot.

By vinod t

Aug 26, 2022

good.

By Dhruv A

Aug 15, 2024

nil

By Yesid J

Jul 27, 2024

Mucha teoría, poca práctica.