This course helped me to get the Knowledge on Machine Learning and This helped me to ge the placement in my college. This is the best course I recommend for Beginners

It is a good course and interests me a lot. And I have learned two useful Supervised Machine Learning algorithms which will help me a lot in my advaned study carrer.

I took a machine learning course in my college. But I never thought I would learn it in such great detail. Thanks, Andrew Ng. and Coursera for such a wonderful course

Gave me a good understanding of the concepts that machine learning uses.

A valuable course that I recommend for anyone who wants to know more or get started with ML.

Many thanks to the people who made this course. A very useful course. I would recommend this course to everyone. Wish the course will have more and more people learn.

I attended this course and found it very constructive and insightful. This was mainly due to the quality of the curriculum as well as Andrew Ng's excellent teaching.

Good introduction to Machine Learning from a physicist, I felt like it was very easy to go with professor Andrew's explanations. Thank you very much for this course!

Excellent course, as always, by Andrew Ng. It is such a delight to learn this subject... and I am in my sixties! I am doing this mainly for intellectual curiosity.

The best machine learning course for beginners. Prof Andrew Ng explains and gives the intuition of any algorithm in the most simple way, the visualization is so good

Great course with practical labs that really make the difference. I would just say that a bit of Python knowledge is recommended for better understanding the course.

Amazing! Cumplió todas mis expectativas. Las tareas de programación son perfectas para entender más de cerca cómo se llevan a cabo los procesos de ML en la vida real

Andrew Ng is amazing! His energy passion, and understanding of the topic is inspiring! I hope to one day get into the Master's program at Stanford to learn from him.

If you are looking to explore and learn about Machine Learning and Data Science, this course is a must one. Andrew Ng is one of the best instructors on the subject.

learning from the basics and looking deep into how each algorithms and function specifications works is very interesting and the way it is explained is very awesome

Very efficiently designed course and labs and practice assignments. Thanks to all for providing such a valuable course for free to students like us. Truly grateful.

It´s a great course for the beginners in the field of AI and machine learning algorithms. Andrew is an excelent professor and his lecture is very clear. Five stars!

I am so happy to be a part of it. The teachings were clear and specific. Explanations are super articulate. Thank you Deeplearning.ai, Coursera and Stanford online.

it’s been a really fun experience. The teachings are very clear and great. God bless you for organizing this. I look forward to going places with what I am learning

Thank you, Andrew. I was sceptical about learning ML but now I am hungry for more. Thank you for the well detailed explanation, I wish i could give you a 10 star :)

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.