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返回到 Mathematics for Machine Learning: Multivariate Calculus

学生对 Imperial College London 提供的 Mathematics for Machine Learning: Multivariate Calculus 的评价和反馈

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5,763 个评分

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

AF

May 12, 2020

Great course. It is clear and accessible, giving a lot of the intuition of why things are done. Some important topics in calculus are missing, such as Integration, but overall very good course.

AK

Jul 27, 2019

Superb quality. The way instructors teach is really innovative. The course is good in terms of the area it covers but lacks depth, but is a good starting point if you want to dwell more in detail.

筛选依据：

476 - Mathematics for Machine Learning: Multivariate Calculus 的 500 个评论（共 1,018 个）

创建者 Sree H N

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Jun 9, 2020

One of the best courses I've come across on the platform.

创建者 Trevor A G

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May 27, 2020

Great overview of multivariate calculus and nice intro to

创建者 Praveen J

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Apr 26, 2020

An awesome way to introduce towards multivariate calculus

创建者 Sergio S R

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Nov 11, 2018

Excellent course. Instructors are clear and to the point.

创建者 Ahmed F

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Jul 2, 2020

it's an awesome course and very important for ML carrier

创建者 David H

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Jan 27, 2019

They know what students want to learn and teach it well.

创建者 Geoffrey K

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Nov 14, 2018

A most intuitive way of learning calculus. Great course!

创建者 Yuichi

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Oct 27, 2018

From basic concept to profound and practical calculation

创建者 WILSON E

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Jul 6, 2021

lots of learning but less visialisation towards the end

创建者 Nikhil S

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Nov 27, 2020

I have no words for this course Amazing, Awesome .....

创建者 Prut S

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Jul 28, 2020

Amazing progression of content. Enthusiastic lecturers.

创建者 Rok Z

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Jan 19, 2020

Great course with a lot of math and practical examples

创建者 Sujeeth S

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Jan 12, 2019

very good introductory course to Multivariate Calculus

创建者 ABHILASH N

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Jul 27, 2020

Good introductory course on calculus and optimisation

创建者 deepak t

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Mar 20, 2020

Taylor Expansion, Gradient Descent and further more:)

创建者 Ashutosh P

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Sep 15, 2018

Great comprehensive course for Mathematics behind ML.

创建者 John C B

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Jul 19, 2021

well presented material with nice, clean assignments

创建者 John V

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Apr 2, 2020

One of the best practical math courses I have taken

创建者 Maria B

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Feb 11, 2020

Amazing course, everything is very well explained :)

创建者 Steve G

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Feb 2, 2019

Great course learned a lot Teacher was very engaging

创建者 DIAZ R G A

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Oct 1, 2020

excelente curso con todos los temas bien explicados

创建者 ignacio r

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Jun 29, 2018

Excellent way of explaining such abstract concepts.

创建者 Charchit S

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Dec 2, 2020

This course give's you a head start in ML journey.

创建者 Adryan R A

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Oct 6, 2021

One of the best course for mathematic in coursera

创建者 Anbu V

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Mar 4, 2019

Good revision for the calculus' application in ML