A comprehensive introduction to ML, delivered in an easy to follow and intuitive fashion by the inimitable and very enthusiastic Andrew Ng.

This is the best course on ML available online.

Make the best use of the course by taking time to understand the math and also the programming assignments.

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

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.

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!

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.

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.

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.

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.

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!

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.

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

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

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.

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

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

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

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!

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!

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

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.

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.

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

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.

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.

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