Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.
Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.
por Aymeric N•
Great lectures augmented with interesting and practical coding assignments. I really enjoyed this course on multivariate calculus.
por Sai P B L•
Good beginner course for learning the fundamentals of mathematics involved in machine learning.
Would highly suggest this course.
por Gauri S•
It is a good course to understand where Calculus can applied to machine learning. It inspires me to pursue a MS in Data Science.
por Arnab S•
This is a very good foundational course for anyone who wants to understand the idea behind the mathematics of Machine Learning.
por Rehanuddin S•
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.
por Manhal R•
An amazing refresher for those who have already done. It took me less than a day to go through it and finish the assignments.
por Charles K•
Really great course, well-organized, great instructors, challenging. Only issue is that the pace of the course is super fast.
por Dhritiman S•
The course was excellent. I only wish the final few lessons covered Matrix equations for linear and non-linear least squares.
por Gergo G•
Very good course on basic mathematics for machine learning. Good examples, some homework and very enthusiastic professors :)
por Liam F•
Very well put together, a bit difficult in certain sections but all mysteries can be unraveled by a quick google. Thank you!
por Miguel C•
I "must-have" course if you want to get (or refresh) concepts on Calculus that are fundamental to understand how ML works.
por Zahi F•
Very interesting and even though there are some difficult theories to understand, the instructors made things really easy.
por Yang Q•
I think a very good course to review multi-variate calculus. Lectures are based on high-level concepts, which are great.
por Suraj S K•
Very enthusiastic professors and a beautiful approach to learn some of the applications of Calculus in Machine Learning.
por Deleted A•
Efficient tutors who were able to inculcate interest in me towards finding out the roots of machine learning algorithms.
por Aníbal G G•
Amazing course. Simply amazing. The way the topics are explained makes fall in love with math (if you haven't already).
por Sumith N•
Really Challenging courses. The Last three weeks were really difficult to complete but it really gave some detail idea.
por Vibhutesh K S•
I think neural networks was unnecessary. It was very concise to understood by anybody without prior knowledge about it,
por Rong D•
Totally like it!!!! Really fundamental and both of the two lecturers have made every important key points quite clear.
por James A P J•
Concise overview of key aspects of multi-variate calculus. A useful intro to applying calculus to machine learning.
por Henok T M•
Very clear videos, awesome exercises, great instructors. A must have for anyone interested in Ml and math in general.
por Mithun B•
Really liked the course. If there are more of neural network course that Imperial College can come up would be best.
por Jose G G M•
A good introduction about gradient descent, theoretical and programming in python in a basic but interesting level.
por Rajesh S K T•
Very nice course!! Multivariate calculus application towards machine learning is
amazingly tailored !!! Good one!!!