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.

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:

1001 - Mathematics for Machine Learning: Multivariate Calculus 的 1017 个评论(共 1,017 个)

创建者 Reena J

Dec 5, 2020

contents Are Useful

创建者 Tianchi M (

Jul 4, 2018

NOT VERY SYSTEMATIC

创建者 itwipsy17

Apr 17, 2020

It's nice

创建者 Alexander M

Jan 23, 2020

.,

创建者 Alois H

Feb 18, 2021

The material is great and very relevant to anything connected to data science, however, I didn't enjoy this course half as much as the first in the series.

It's way too dense, things appearing on the screen where it's not clear where they're coming from, explanations feel scripted and read out at high speed, frequently unclear.

If you're using screen shots for taking notes (as I do), that's not ideal either because they're writing on a glass pane while they're standing behind it.

I'm working full-time and had to take this course stretched out over a long time. Again, the presentation being so dense doesn't help there either.

All in all it feels like a published first draft of the course, it doesn't seem the instructors are trying to improve the course at all.

创建者 norlesh

May 30, 2021

There is a total disconnect between what is 'taught' in the videos and what is tested in the questions, and no reference to any written material meaning the student is required to go and learn the tested material somwhere else in order to pass... Perhaps it is good for screening those that have the knowledge, but it is rubbish for teaching it.

创建者 Paul K M

Oct 24, 2019

I am not sure if this course is for people who know calc, and want to learn python coding or people who know coding and want to learn some calc? Frankly it isn't a great course for either group. I knew some calc, and some python going in, and I did expand my knowledge and gain some useful practice. But it left me craving rigor.

创建者 Priscilla V A

Mar 26, 2021

It's hard for me to do the coding since the course video doesn't provide any coding or any supplemental reading

创建者 Long C

Feb 8, 2022

with poor explanations of theories and without examples

创建者 Mohammed A A

Jul 17, 2020

you must first give e more example and intuition

创建者 Indira P

Mar 24, 2021

Sorry but it is hard to understand

创建者 Mariya O

Mar 6, 2020

I am extremely disappointed with these classes... if you think you would learn something/ especially as a beginner/, well, you won't...material is not well organized and presented, topics jump from one place to another, the quiz and assignments have nothing to do with the lectures...nothing is well explained...you could get more information/explanation from wikipedia ...if you are here so you can get a certificate- do it...but you are here to actually learn something- run away, you can learn more for free from Khan Academy lectures.

创建者 Hendrik V

Nov 5, 2020

The time required is not realistic. Had to put in exponentially more hours than suggested. Instructors are not involved in the course. You ask a question and in a couple weeks another student might help.

创建者 Kimberely C

Dec 27, 2019

Definitely, not for beginners. Just as bad as the last one. They need to have more examples, which walk you through the ones like they give you on the homework as well as an example of how to do Python.

创建者 Karl F

Jun 11, 2022

First videos have no relatabilty to what the leanring ourcome should be. And assumes a indpeth knowlege of the conceopts being covered.

创建者 JICHEN W

Oct 27, 2018

No very detailed oriented and explantion of material is not clear.

创建者 이용렬

Jun 4, 2024

ㅈ까시발새끼들아