The instructor is very, very knowledgeable.

Content is explained using lots of visual tools.

Worked really well for me especially with the labs.

Need to dust off my math.

Muy bueno este curso, soy de Colombia y siento que se aprende lo necesario para poder tener la iniciativa de profundizar en los temas de mayor interés. Muchas gracias.

Excellent opportunity to learn from the best. Absolutely brilliantly delivered course, straight to the point with the mathematic substance expected from such a leader.

Content is very good and accessible! With good overview of not only implementation of linear and logistic regression, as well as the theory and concepts behind those.

Very clear and concise explanation on intuition behind the ideas. Good pace. Labs strengthen understanding. For anyone who wants to learn, or unlearn and re-learn.

I like how the course focus in the math behind the algorithms. I think that is important to better underestand the limitations and advantages of different algorithms,

easy to understand, some coding knowledge will help alot.

the juice is clear and easy to understand.

video and mic qualities are not the best, but very much good enough.

Bilgisayar Mühendisliği 4. sınıf öğrencisiyim. Üniversitede aldığım derslerden çok daha kapsamlı ve kök nedenlere derinlemesine giren bir kurstu. Teşekkürler Coursera

I was a complete beginner to Machine learning and this course explains you in a way you explain a kid. Grateful for taking up this course. Thanks Andrew and Coursera.

Great explanations. I think the quizzes could be structured a bit better, but this course really piqued my interest in Machine Learning and I'm motivated to continue.

Andrew Ng and the team are amazing at explaining the concepts, developing great intuition, and providing practical tips for real life scenarios. The labs are so cool!

This course is totally awesome, the UI used in the slides and the professor accent is simply superb. I gained a lot of knowledge in the Machine Learning field. Thanks

The first module was really good, and the way Prof. Andrew explains everything is simple and direct. Thanks for the Financial aid Coursera it was a great opportunity.

Compared to other machine learning courses(the one from Google), it describes methods mathematically. It contributed a lot to understand the main logic of algorithms.

Amazing course.

Makes it easy to understand the fundamentals, even for me as someone who had a carrier in ballet in almost 2 decades.

Thank you so much for this course.

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.

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