Clearly structured course, explaining step by step. Ideally suited for after work learning. Course comes with a lot of real life examples to make the idea on how to use AI better understanding.

This was so intense and very practical and it's what I'm always looking for. I loved it and I highly recommend it to all AI enthusiasts willing immediately get their hands on Machine Learning❤️

I was a little apprehensive about the Math required to understand the concepts, however this course simplified the approach in an elegant and easily understandable manner and made it enjoyable.

Challenging and educational. You really have to put an effort to understand the content, since it delves into complex stuff, but if you commit it, then you really learn some valuable knowledge.

Thank you very much, Andrew, for giving me the opportunity to understand a little bit about what Machine Learning is. You are very kind and patient in class, and that motivated me to continue.

A must have course for any beginner in the indusry. Very well explained even the tougher topics. Helped me a lot to gain understanding of the basics which i was struggling for. Totally a win.

It covers the fundamentals which form the proper foundation for machine learning, suitable for people who want to learn about machine learning implementation as a AI specialist / practitioner.

This is one of the best courses I may have ever done in my life. It teaches the basics and the more advanced concepts in such a way that it literally sticks in my mind! I am now dreaming ML...

Great course. Focused on understanding the concepts and then applying them piece by piece in code with the optional labs an excellent addition for further understanding and learning the code.

Great course material with excellent labs and explanations. Easy for anyone with some programming experience. Finally, a course that can make learning and understanding ML easier for everyone

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.

This the perfect course for beginners on Machine Learning even for those who have little or no programming experience. Best Course, easy explanation and best labs. Thanks for the the support.

This course gives you the basic of supervised learning and the math explanation behind supervised learning model. The math behind is quite complicated but Andrew Ng make it easy for everyone.

Very good course and walks you through every concept needed for Regression and Classification. Thank you Andrew for providing such a great course and looking forward to meeting you one day !

A very clear and well explained introduction to Machine Learning; Andrew's videos are very easy to follow, and he explains the concepts and the maths very well! I really enjoyed this course.

This course is excellent. The explanations of the topics are clear and presented in an easy-to-understand manner. It’s incredibly useful for building a strong foundation in machine learning.

The course is best to start with the fundamentals of Machine learning. The course mainly focuses on the theory part and it is the most missing in any other ML course available in the market.

Great introduction to Machine Learning. Realising that my math is rusty and need to perhaps take the deeplearning.ai math courses. Professor Ng makes materials relatively easy to understand.

The best course I have taken. it translates a complex subject, into something very simple, and what I like the most about this course is how this thing unfolds step by step, until the result

I really liked this course. I had been doing regression for good part of my career, but I had missed the terms / labels and was not able to communicate effectively. This has helped me a lot.

i really liked the course, but because i am a beginner i will understand more about machine learning especially cost function logistics. after that, i am going to complete the next 2 courses

Good intro to the underlying theory of regression/classification. I'd applied these techniques at a high level before, but I'd never learned how they're actually implemented under the hood.

I like the way jupyter notebooks are designed. It saves time on testing the code because it displays step by step what is happening and allows me to focus on the code logic implementation.

Amazing course explaining the math behind the most famous algorithm. Good explanation of the gradient descent.

Thank you to Andrew Ng and his team! A bit of math background is needed though

Sufficiently in-depth to grasp the basics and do a bit of coding. Would have preferred more coding practice within the module, but most people will probably find it difficult enough as is.