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Mathematics for Machine Learning: Multivariate Calculus(으)로 돌아가기

임페리얼 칼리지 런던의 Mathematics for Machine Learning: Multivariate Calculus 학습자 리뷰 및 피드백

5,172개의 평가

강좌 소개

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....

최상위 리뷰


2019년 8월 3일

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.


2018년 11월 12일

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.

필터링 기준:

Mathematics for Machine Learning: Multivariate Calculus의 928개 리뷰 중 901~925

교육 기관: Ahmad A

2021년 2월 22일

Too many Assignments and Quizzes to pass

교육 기관: Yusuf T

2021년 7월 28일

Need to focus more on the details.

교육 기관: สิทธิพร แ

2020년 6월 12일

Week 5 and 6 Lecture quite poor

교육 기관: Leigh F

2019년 5월 29일

Concepts not clearly explained.

교육 기관: Aviv P

2018년 12월 6일

many topic were explained badly

교육 기관: Vivek P D

2019년 9월 10일

Explanation is not in depth

교육 기관: Mahmoud T

2020년 3월 30일

Dr.Sam Cooper is the best.

교육 기관: Yap C Y

2021년 3월 14일

need more explanations

교육 기관: Abdelftah M

2020년 4월 5일

Change the bald man.

교육 기관: Rishabh J

2019년 3월 8일

Not very challenging

교육 기관: Reena J

2020년 12월 5일

contents Are Useful

교육 기관: Tianchi M (

2018년 7월 4일


교육 기관: itwipsy17

2020년 4월 17일

It's nice

교육 기관: Alexander M

2020년 1월 23일


교육 기관: Alois H

2021년 2월 18일

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.

교육 기관: norlesh

2021년 5월 30일

T​here 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.

교육 기관: Paul K M

2019년 10월 24일

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.

교육 기관: Priscilla V A

2021년 3월 27일

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

교육 기관: Long C

2022년 2월 8일

with poor explanations of theories and without examples

교육 기관: Mohammed A A

2020년 7월 17일

you must first give e more example and intuition

교육 기관: Indira P

2021년 3월 24일

Sorry but it is hard to understand

교육 기관: Mariya O

2020년 3월 6일

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 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.

교육 기관: Hendrik V

2020년 11월 5일

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.

교육 기관: Kimberely C

2019년 12월 27일

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.

교육 기관: Abhishek B

2020년 4월 15일

Instructions were very poor in many cases , Khan Academey is much better source for explanation of concepts

Instrructions on PCA are so Awful , that I decided to drop from the course