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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
3,592 个评分
621 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:

301 - Mathematics for Machine Learning: Multivariate Calculus 的 325 个评论(共 624 个)

创建者 Jevon K M

Mar 09, 2019

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

创建者 Tichakunda

Jan 03, 2019

great course, great teachers. they break things down very well!

创建者 Andrés M

Jul 06, 2020

Coming from a BA in maths, I didn't expect it to be that good.

创建者 Aayush S

May 29, 2020

Very good course for understanding basics of machine learning

创建者 AVICHAL

Mar 31, 2020

Course outline is well defined and instructors are very good.

创建者 Pavel S

Dec 13, 2019

The best course of the module (perfect for non-matematicians)

创建者 Dominic D

Jan 08, 2019

Very practical introduction to the subject, very well paced!

创建者 Morayo O

Mar 29, 2020

I learned so much, more so on how calculus factors into ML.

创建者 Cheung Y H

Oct 08, 2019

Clear and easy to follow, with practical examples and tasks

创建者 Shahriyar R

Sep 09, 2019

Amazing in-depth explanations and insights. Thanks for all.

创建者 Kris S

May 28, 2019

Very well taught, great flow of lectures, awesome teachers!

创建者 XL T

Mar 20, 2020

totally mind blowing and refreshing way to learn calculus!

创建者 Gyan D

Oct 08, 2019

This course gave a good intuition of the mentioned topics.

创建者 Du L

Aug 05, 2018

Super Great!!!

Clear illustration on multivariate calculus.

创建者 Evgeny ( C

Jul 25, 2018

Great balance between presentation and excellent exercises

创建者 Sree H N

Jun 09, 2020

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

创建者 Trevor A G

May 27, 2020

Great overview of multivariate calculus and nice intro to

创建者 Praveen J

Apr 27, 2020

An awesome way to introduce towards multivariate calculus

创建者 Sergio S R

Nov 11, 2018

Excellent course. Instructors are clear and to the point.

创建者 Ahmed F

Jul 02, 2020

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

创建者 David H

Jan 28, 2019

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

创建者 Geoffrey K

Nov 14, 2018

A most intuitive way of learning calculus. Great course!

创建者 Yuichi M

Oct 28, 2018

From basic concept to profound and practical calculation

创建者 Prut S

Jul 28, 2020

Amazing progression of content. Enthusiastic lecturers.

创建者 Rok Z

Jan 19, 2020

Great course with a lot of math and practical examples