Chevron Left
返回到 Mathematics for Machine Learning: Multivariate Calculus

学生对 伦敦帝国学院 提供的 Mathematics for Machine Learning: Multivariate Calculus 的评价和反馈

4.7
3,578 个评分
618 条评论

课程概述

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future....

热门审阅

JT

Nov 13, 2018

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.

SS

Aug 04, 2019

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.

筛选依据:

326 - Mathematics for Machine Learning: Multivariate Calculus 的 350 个评论(共 620 个)

创建者 Ashutosh P

Sep 16, 2018

Great comprehensive course for Mathematics behind ML.

创建者 John V

Apr 02, 2020

One of the best practical math courses I have taken

创建者 Maria B

Feb 11, 2020

Amazing course, everything is very well explained :)

创建者 Stephen G

Feb 02, 2019

Great course learned a lot Teacher was very engaging

创建者 ignacio

Jun 30, 2018

Excellent way of explaining such abstract concepts.

创建者 Anbu V

Mar 04, 2019

Good revision for the calculus' application in ML

创建者 anirbid g

Oct 01, 2018

great course, wonderful instructors. thanks much.

创建者 Nitish K T

Jul 12, 2019

Very relevant course. It was very helpful to me.

创建者 Andreas Z

Jul 11, 2018

Just as good as the first course of this series.

创建者 Luis F C R

Mar 24, 2020

Great course and the materials are very helpful

创建者 Zhuofei D

Feb 22, 2020

Great course for some general methods and math.

创建者 Archana D

Mar 06, 2020

it was great to have the formulas as reference

创建者 Mohammad M

Jul 25, 2018

Perfect start point to learn machine learning.

创建者 Bruno F

Oct 14, 2018

Nice course. Very useful for machine learning

创建者 Luciano M

Sep 15, 2018

Fantastic course with a very nice accent! :-)

创建者 Marco C

May 01, 2018

Another fantastic course by Imperial College.

创建者 wang x

Sep 01, 2019

Very friendly for some one new to the topic.

创建者 JARMOUNI A

Apr 15, 2020

Excellent course, I have really enjoyed it.

创建者 UMAR T

Mar 10, 2020

excellent course taught by the instructors.

创建者 Antonio C P

Dec 30, 2019

Excellent material and awesome instructors!

创建者 Moez B

Sep 11, 2019

Excellent course with engaging instructors.

创建者 Greg B

Oct 31, 2018

Great course with highly relevant material.

创建者 BHARAT K

Jul 13, 2020

think you for imperial college of london

创建者 AYUSH M

Jun 17, 2020

Excellent primer for multivariate calculus

创建者 Rajkumar R

Jun 13, 2020

I enjoyed the journey of learning with ICL