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

4.9
stars
3,684 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

JT

Jun 7, 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!

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.

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76 - 100 of 592 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By TantoMaNonTroppo

Jan 23, 2023

Adrew makes machine learning very easy to understand, i would loved to see more coding implementation with Sklearn and Tenserflow instead of implementation with basic python. overall is an excellent starting point to understand machine learning in all his complexity and use cases

By Amirhossein T

Mar 23, 2024

This course(and specialization ) presents the content in the simplest and most practical way with a completely calculated and attractive expression. Also, in my opinion, this course is very effective and useful in the formation of engineering thinking and vision towards problems.

By Ganael D

Feb 15, 2024

After completing this course, I have confidence in my ability to handle supervised machine learning projects. It was great! Andrew Ng is a fantastic teacher, everything was clear and easy to follow. I absolutely recommend this course to anyone who wants to learn machine learning!

By Pritam S

Jun 21, 2024

Thankyou Coursera, DeepLearning.ai, Stanford and last but not least, the G.O.A.T. Andrew Ng for this specialization. Only feedback is to maybe use Google Collab's 12gb ram instead of Jupytr for computational heavy codes like that of moon lander. Once again, Thankyou.

By Nur M H

Mar 28, 2023

An excellent introduction to machine learning course is this one. I've learned a lot from this course about the ideas behind machine learning algorithms and frameworks. All of the topics are presented in great detail and with clarity by Andrew NG, a fantastic teacher.

By Serban G

Aug 11, 2022

Excellent videos and labs, clear explanations of technical details with emphasis on developing an intuition while learning the technical concepts. I enjoyed it and appreciated the use of current machine learning software frameworks in the videos and the labs.

By saba o

Mar 16, 2023

I think this course gives a great introduction to different ML concepts such as: unsupervised learning, recommenders and reinforcement learning. After finishing the specialization students can start building their own projects and applying their knowledge.

By Ryan P

May 9, 2023

This is a fantastic course! The materials are phenomenal. Andrew is an amazing teacher and he explains concepts in a way that makes them easy to understand. I have gained so much confidence from this course and I plan to take others from DeepLearning.AI!

By Muhammad M

Aug 19, 2023

Machine learning has consistently amazed me, and this course has truly solidified my understanding of its core concepts. It provided me with a robust foundation, allowing me to delve into the intricate world of machine learning with confidence.

By Ogheneochuko P

Sep 27, 2022

I learnt so much. The math was kind of hard but I understood everything. I definitely feel like I have a solid foundation to start my ML/AI career.

I want to say a big thank you to Andrew and everyone on the team. Can't wait to #BreakIntoAI

By Devanshu K

May 15, 2023

It's awesome course with lot of content and very well explained so a naive person can also understand without digging much into technicalities. Andrew made sure students get concepts clear so later can own dig into deep without any hassels

By Jared F K

Jan 17, 2023

This was an amazing course. I am familiar with most, if not all concepts covered in this lecture series, but I have never seen this information put together in such a concise and easy to learn manner. Thank you so much for the experience.

By Geethika I S

May 24, 2023

This final course of ML Specialization pretty solid. I can recommend this course to anyone who's trying to break in to AI. The instructor is the best. And the content is very well structured. Thank you so much DeepLearning.ai Team

By Sayantan S

Dec 26, 2022

Excellent course all along. There can not be any poor reviews for this course, Both the course contents and the instructor sir are wonderfully awesome. Thank you so much for providing all the valuable insights into Machine Learning

By Diego A S R

Jul 28, 2024

Great course and great instructor. I really enjoyed each of the lectures with Andrew, he has an amazing way of teaching. I would recommend this course / specialization to anyone who wants to begin its career in Machine Learning

By anup

Sep 24, 2022

Thanks for the awesome foundation with practical understanding. Thanks Andrew for getting me fascinated by what ML can do. Thanks to the entire course team for all the work that went into this, and doing a fabulous job!

By Carlos G

Sep 8, 2022

This is the best course I have taken. It sparked my interest and It was very touching how Andrew Ng concluded this specialization. I hope more people can enroll in this specialization to learn about machine learning!

By Vignesh S

Jul 30, 2024

This course not just helps us to learn the concepts but also focuses on improving our interest in working and creating further advanced model mainly in areas of Reinforcement learning. Loved the work :) Thank for it

By Javier A

May 25, 2023

I am extremely grateful to the great Coursera team for the way you are enriching and inspiring the world. Thanks a lot!!!!!!!!!

The format, insights, practice labs, time-consuming.... extremally well done!!! Perfect.

By Lucas C

Aug 6, 2024

Andrew follows a very intuitive approach to teaching and has a great teaching style of starting with basic examples and visualizations to build a foundation before diving into the more complex and applied problems.

By Mohammadreza R

Mar 19, 2023

Incredible course. Very insightful lectures and excellent presentation. Just hoped that the course would focus a little more on the practical issues and that the labs would display codes on areal dataset. Thankyou

By Brooks J

Aug 7, 2022

Not only did I get a tremendourse from this course, I'm thinking about how to reinfoce my own learning, with the tradeoffs that suggests between immediacty and payoff, as well as introduce a touch of randomness.

By Anirudh N

Aug 20, 2024

Great course and very informative and helpful for beginners getting into machine learning. Would recommend completing the entire specialization series of 3 courses. Thank you for providing such a great course.

By Kyawt E W

Aug 13, 2024

Sir Andrew Ng is second to nothing in teaching such advanced technology. If it weren't his lectures, I would have given up on ML since the beginning. 5 out of 5 ever and Thank you for your insightful lectures

By TRỌNG N

Mar 27, 2023

This course is absolutely helpful for me to understand the concepts behind machine learning algorithms and libraries that are considered as black-box for many people. I've finished the course within 2 weeks.