インペリアル・カレッジ・ロンドン（Imperial College London） による Mathematics for Machine Learning: Multivariate Calculus の受講者のレビューおよびフィードバック

This is a great course! I have learnt a lot in this course. I have leant single variable calculus and linear algebra (freshman year difficulty), and this course is challenging but doable for me! All the assignments are designed carefully and interesting to complete! I would like to say thank you to all the instructors of this course:D

The intuition is explained very clearly. Graphs in 2D and 3D are used effectively to clearly express the idea.

Very practical introduction to the subject, very well paced!

very good introductory course to Multivariate Calculus

Thank you!

Mathematics is all about your understandings and feelings of logics.

It us good course and gave me basic understanding of multivariate calculus. It provide insight of gradient descent.

I think this course will help me a lot.

This course delivers its promise it is very crisp and concise. After completing this course I just feel I have remembered all vector calculus taken in my engineering maths (which is almost 8 years back) :)

I highly recommend this course to getting started ML/DL.

Good revision for the calculus' application in ML

My current (2019.03.09) employer hates it. Therefore I love it.

Really good introduction for things like regression and gradient descent. An extremely good refresher for calculus and extension from what is taught in school (in UK at least).

Excellent class! Understanding the math "under the hood" of the Python, Matlab, and R libraries is indeed the missing link holding back many data scientists from truly achieving competence and excellence. This course addresses such lacunae squarely by tackling a robust menu of relevant mathematical methods. Well done and kudos to Imperial College for taking the initiative.

I am enjoying this course massively. I am on week 5 and the lecturer has been great so far. Some of the programming assignments are a bit easy as in some cases the blanks to fill in are rather self-explanatory.

The exercise questions progress in difficulty nicely and are sized well. References to tackle more questions to solidify the understanding could be good, however I recognise that the aim is to teach the intuition and then move on and apply it in Machine Learning examples, rather than being a mathematics course alone.

Great !

Calculus 5 star

Excellent course

Very intense course. However, now that I have moved on to Andrew Ng's ML course, I am so glad I finished it. Understanding the math behind ML makes learning it so much more enjoyable. Before it was like shooting in the dark. My python code wouldn't and ML-concepts would take a lot of time and effort to sink in. Sometimes not at all... This course armed me with the tools to succeed in a career in ML and AI. Looking forward to finishing the specialization!

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

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

very cool

Quality course that will leave you feeling confident in multivariate calculus and analytics.

I love the assignments. It was fun being able to translate mathematics equations and algorithms into python code

So glad the Professor made it back - he didn't show up until week 5. He's so charismatic and funny to watch. I learnt loads from this module and really appreciate the 'audit access'. Power to the People :)

very good