Chevron Left
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

4.7
5,737 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

DP

Nov 25, 2018

Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.

JT

Nov 12, 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.

筛选依据:

976 - Mathematics for Machine Learning: Multivariate Calculus 的 1000 个评论(共 1,017 个)

创建者 kumar s

Aug 9, 2020

Overall average course. Not that much good as expected because of David Dye. He was teaching very poor in this course as compared to course-1.

创建者 Zhonglu L

Apr 19, 2024

I think the first teacher is better than the second one. The content by the second teacher can be more clear and go even deeper / analytical!

创建者 Ashritha K

May 21, 2020

Last 2 weeks completely diverged. Failed to converge. I wish content was more elaborate.First course of this specialization was far better.

创建者 Deleted A

Dec 7, 2019

first 4 weeks were good. Starting from week 5 course explanation was bad. Was required to watch other videos.

创建者 Lieu Z H

Nov 18, 2019

Lecture videos are quite sparse, and the quizzes test things that they don't teach you in the lecture

创建者 Saurabh M

Sep 28, 2020

A bit fast paced, could be much more beneficial with some added explanations.

创建者 Lee j

May 22, 2019

Too fast to understand what instructors says.. but lecture contents are good

创建者 Erwin M

Apr 28, 2021

The basics is explained so light, that you wonder if it is of any use.

创建者 Akeel A

Aug 29, 2020

It was a lot of fun at points. Would recommend to anyone else.

创建者 Gurrapu N

Apr 7, 2020

Strong disconnect between teaching videos and assignments.

创建者 jgkostas

Apr 13, 2020

Course would enhanced if pdf's of lectures were provided.

创建者 p g

Jul 14, 2019

There is a decent space for course improvement.

创建者 prudhvi

Jun 23, 2019

week 6 content is not clear at least for me .

创建者 Ahmad A

Feb 22, 2021

Too many Assignments and Quizzes to pass

创建者 Lawrence L

Jan 26, 2024

Go over the derivatives extremely quick

创建者 Yusuf T

Jul 28, 2021

Need to focus more on the details.

创建者 สิทธิพร แ

Jun 12, 2020

Week 5 and 6 Lecture quite poor

创建者 Leigh F

May 29, 2019

Concepts not clearly explained.

创建者 Aviv P

Dec 6, 2018

many topic were explained badly

创建者 Vivek P D

Sep 10, 2019

Explanation is not in depth

创建者 Mahmoud T

Mar 30, 2020

Dr.Sam Cooper is the best.

创建者 Yap C Y

Mar 14, 2021

need more explanations

创建者 Abdelfattah M

Apr 5, 2020

Change the bald man.

创建者 Rishabh J

Mar 8, 2019

Not very challenging