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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
5,737 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

KB

Jul 23, 2020

Very informative refresher on the basics of differentiation, though some of the later topics could have been fleshed out more (i.e. Taylor Series, Lagrange Multipliers, etc). Overall very good.

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.

筛选依据:

501 - Mathematics for Machine Learning: Multivariate Calculus 的 525 个评论(共 1,017 个)

创建者 Raphael M

Mar 26, 2022

excellent teachers , very well produced videos

创建者 Matthew S

Sep 20, 2020

A really enjoyable and well put together course!

创建者 Nitish T

Jul 11, 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 Naol Z

Mar 20, 2022

This is what i was looking for!! amazing course

创建者 Osama K

Dec 11, 2020

Thanks, it was a lot of fun taking this course.

创建者 Felipe C

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 Janine S

May 24, 2024

Great lecturer and clear development of points

创建者 Apoorv M

Apr 10, 2021

awesome instructors with well explained course

创建者 Hyun H M

Oct 17, 2020

Great course to understand vector and calculus

创建者 Neelam U

Sep 1, 2020

I loved the application aspect of this course!

创建者 Archana D

Mar 6, 2020

it was great to have the formulas as reference

创建者 Mohammad M

Jul 24, 2018

Perfect start point to learn machine learning.

创建者 Tianlu W

Jul 26, 2022

Excellent course that combines MVC and Python

创建者 Bruno F

Oct 14, 2018

Nice course. Very useful for machine learning

创建者 Deleted A

Sep 15, 2018

Fantastic course with a very nice accent! :-)

创建者 Marco C

Apr 30, 2018

Another fantastic course by Imperial College.

创建者 wang x

Aug 31, 2019

Very friendly for some one new to the topic.

创建者 Teiichi A

Aug 5, 2021

Enjoyed leaning a lot with the instructors

创建者 Pranav N

Aug 25, 2020

Great continuation from the previous course

创建者 Manmohan K

Aug 15, 2020

Such good visualizations! Must have course.

创建者 JARMOUNI A

Apr 15, 2020

Excellent course, I have really enjoyed it.

创建者 UMAR T

Mar 9, 2020

excellent course taught by the instructors.

创建者 Claudio P

Dec 30, 2019

Excellent material and awesome instructors!