way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

Thank You Andrew for giving a digestible way to understand machine learning concepts as well as proper implementation. I'm truly thankful to have found this course

I was fairly new to these concepts and quite frankly these topics were overwhelming. Now i Understand the workings a bit my fear of AI takeover has been validated.

Really good course to start learning ML. Can complete with minimal coding knowledge. Plenty of optional labs available if you want to fully explore every scenario.

This course was very good for me because of Andrew ng . He is a very good teacher with a good experience of teaching . so , Thanks Andrew , Thanks Deep Learning AI

Wonderful course. Great insights. Perfect explanations. I enjoyed every minute of it. I am eager to move on the next courses under Machine Learning Specialization.

While it helped to do the Mathematics for ML & Data Science specialization in advance, this was extremely clear and concise introduction to the foundations of ML.

Andrew did full justice to this course. I will stick to his suggestions for building ML models. It would have been great if some small projects were included too.

the final laboratory exam was not easy, perhaps a bit of extra clarity would be helpful especially where code examples are set in place and specifics are expected

Excelent way to get in touch with theory of how IA works (very begining).

A Little bit hard for non-engineers, but with a little extra effort, you can achieve it!!

Andrew is amazing! He's explaining hard things to understand the most available way I've ever known. A big plus is also the coding tasks, very good for beginners.

I can clearly say it is one of the best machine learning course in whole world . It covers all core concepts from scratch and I love teaching style of Andrew Sir.

I learned a lot about machine learning, and I understood and applied a lot of principles and theories, I benefited a lot. This course was useful and fun to learn.

A very well designed and organized course. It helped me a lot to learn the basics of Machine Learning. I am thankful to Mr. Andrew and his team for their effort.

It was a fun course presented in a simple way that anyone could understand the algorithms behind Regression, Classification, Gradient descent, and regularization.

Great, Andrew never fails in surprising me.

just keep in mind that you have to understand how the Algorithms are implemented, and everything will be more than fine

The Dr who gives this course is more than amazing i've learned a lot of things and i will recommend this course to the people who is excited in machine learning.

It's beautiful course , it covers each and every topics in detailed but it can be much better it provide detailed proof or derivation of each algorithm.

Thank you

Great learning experience, provides a strong foundation and a dive not only into how things work in code, but the math as well (which, trust me, is quite handy!)

Un excelente inicio, todo muy claro con grandes ejemplos, excelente profesor, conocimiento básico de phyton recomendado aunque puedes aprender junto con el curso

Extremely well designed and easy-to-understand course. It made regression and classification so easy like butter to understand even to a non-math person. Kudos!

incredible, simple and powerful inriductory into such a field as ML, for me, I benefited a lot in the first course and I am willing to enrolling to the next one

Amazing coure with very well preparied videos and supporting labs. Highly recomended if you are beginner and want to cover the subject in a short period of time.

Great Material Mathematically and coding), Great Instructor, Great Graphics. It would be better if it was more challenging in the tests. But Overall It is great.

You go through the rabbit hole but when you come up, you are well equipped for tackling the AI industry. Thank you Andrew NG for the knowledge you are offering.