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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

4.7
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.

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851 - Mathematics for Machine Learning: Multivariate Calculus 的 875 个评论(共 1,018 个)

创建者 Vishnu T

Oct 21, 2020

This course is a good refresher, bringing all the important aspects and how it can be applied for machine learning also combining with linear algebra

创建者 Satpal S R

Jan 30, 2019

This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.

创建者 Angelo S d O

Dec 5, 2018

Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.

创建者 Viacheslav P

Aug 23, 2019

Good course, but some things seem to be not well discussed and explained, I had to refer to another resources to understand what's going on.

创建者 Patrick F

Feb 1, 2019

Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.

创建者 Valentinos P

Aug 25, 2019

A very nice course that builds your intuition in Multivariate Calculus and also introduces you to some basic consepts in machine learning.

创建者 Aman A

Oct 12, 2019

This was a very succinct and comprehensive course and at times I felt a bit fast paced and consequently the assignments harder to solve

创建者 Vikram N

May 13, 2020

Good course. Clarity of content in the last two weeks (i.e. weeks 5 and 6) can be improved. Overall a fantastic learning experience.

创建者 Rachel Z

Mar 6, 2021

Excellent course overall. I really enjoyed the sessions taught by Sam Cooper. He explains concepts very clearly...great teacher.

创建者 Andy G

Nov 22, 2022

Nice content, very clearly explained. Occasional jarring between the lectures and the quizzes, but overall highly recommended.

创建者 Prashant D

Feb 16, 2019

Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable

创建者 Mason C

Sep 21, 2021

Great overall, but some of the teaching falls short of clarity, too much hand waving, and programming exercises can be obtuse.

创建者 no O

Jun 30, 2020

This is a nice course for beginners, as it relies on intuition for the explanation. Also, this has very interesting exercises.

创建者 Leong H

May 13, 2020

it is pretty good for week1 to week4, but week5 and week6 are too complicated, I think the course should explain more details.

创建者 Sachitha V S

Oct 28, 2020

course was great and interesting however some topics were need to explain more thoroughly little bit difficult to understand

创建者 Stanislav S

Apr 21, 2021

Can be hard in some parts. But it's not instructors fault as they had to put a lot of material into relatively short course

创建者 Daniel P

Aug 22, 2018

Interestin to refresh notions you already learned. Probably a bit difficult if you're totally new to multivariate calculus

创建者 Elise W

May 23, 2023

Pretty good course, very inspiring. The quality drops in last two weeks; need to refer Khan's videos for further clarity.

创建者 Wendy N

May 12, 2020

Sometimes I need more explanation, I needed to find another resources to clarify what I haven't understood at that time.

创建者 Chika

Jul 9, 2019

Feedback on assessment could be improved, and there could be more practice questions relevant to the final assessments

创建者 Jose V

Jun 4, 2018

I think I've improve my understanding of mathematics for ML, mainly, I've understand much better the concepts involved

创建者 thedoctor

May 4, 2021

More focus on concrete data centric machine learning instead of abstract function definitions would have been helpful

创建者 Arun

Mar 2, 2019

Good course to understand the basic mathematics terms and a refresher for high school math with some technical terms.

创建者 ADITYA K

May 12, 2020

It is a beautifully designed course to get knowledge of how to apply various types of calculus to machine learning.