a very good explanation of the required calculus basics for machine learning. moreover, it opens the way for the wide optimization world.

Really well structured course. The modules around Gradient Descent could have been a little slower, but overall great pace and teaching.

Very well structured and nicely explained. The assignments / quizzes are very helpful for deepening and strengthening the understanding.

Muy adecuado si estamos interesados en introducirnos en el mundo de los algoritmos usados en inteligencia artificial y machine learning

I particularly liked the way the course has been structured to guide people towards machine learning from linear algebra and calculus.

This is a must course to be taken up for AIML enthusiasts. Will greatly help before listening to Andrew Ng in Machine Learning course.

Great course!! It was challenging, but as any good challenge the reward is worth it. Thanks for the opportunity of learning with you!!

Good short videos and have great some practical assignments in python.A good intro and can be a good refresher to calculus for you.

This course, took me deeply to the machine learning world, besides that It built up a strong bases to keep studying machine learning.

As a physics graduate, this course serves a fresh up in calculus and optimisation, which is essential for studying machine learning.

Great course for deep learning engineers,cover all the fundamentals of calculus required for learning machines.Thanks to Professors

The professors are great! Wish we had part of such enthusiasm all throughout high-school. I bet people would enjoy math a lot more.

Great lectures augmented with interesting and practical coding assignments. I really enjoyed this course on multivariate calculus.

T​his course for my opinion is very very very challengging, but i'm satisfied because this material is one of like and i love it.

Good beginner course for learning the fundamentals of mathematics involved in machine learning.

Would highly suggest this course.

It is a good course to understand where Calculus can applied to machine learning. It inspires me to pursue a MS in Data Science.

This is a very good foundational course for anyone who wants to understand the idea behind the mathematics of Machine Learning.

Mr. Sam Cooper and Mr. DavidDye's teaching are Simply awesome. Looking Forward to completing this specialization. ❤ from India.

Thank you professors for your nice explanation. I hope to see you again with in depth of machine learning and neural networks.

An amazing refresher for those who have already done. It took me less than a day to go through it and finish the assignments.

Really great course, well-organized, great instructors, challenging. Only issue is that the pace of the course is super fast.

The course was excellent. I only wish the final few lessons covered Matrix equations for linear and non-linear least squares.

Very good course on basic mathematics for machine learning. Good examples, some homework and very enthusiastic professors :)

Very well put together, a bit difficult in certain sections but all mysteries can be unraveled by a quick google. Thank you!

I "must-have" course if you want to get (or refresh) concepts on Calculus that are fundamental to understand how ML works.