Opiniones y comentarios de aprendices correspondientes a Mathematics for Machine Learning: Multivariate Calculus por parte de Imperial College London

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.

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.

Very interesting and even though there are some difficult theories to understand, the instructors made things really easy.

I think this course is really aiming at algorithm that can be applied in machine learning, which is to me very practical.

I think a very good course to review multi-variate calculus. Lectures are based on high-level concepts, which are great.

Very enthusiastic professors and a beautiful approach to learn some of the applications of Calculus in Machine Learning.

Efficient tutors who were able to inculcate interest in me towards finding out the roots of machine learning algorithms.

Amazing course. Simply amazing. The way the topics are explained makes fall in love with math (if you haven't already).