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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

4.7
별점
5,178개의 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

SS

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.

DP

2018년 11월 25일

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.

필터링 기준:

Mathematics for Machine Learning: Multivariate Calculus의 928개 리뷰 중 826~850

교육 기관: Manish C

2020년 4월 26일

Excellent course for beginners who want to learn machine learning .

교육 기관: João M G

2019년 7월 31일

Weeks 1-4 are great! Weeks 5 and 6 are longer and less explanatory.

교육 기관: Alex S

2018년 8월 16일

Good course to learn about the mathematics behind machine learning.

교육 기관: Jair J C C

2019년 12월 26일

Excellent course, some parts in the last weekend were not so clear

교육 기관: Hari

2019년 2월 12일

Really good for fundamentals, the assignments were too easy though

교육 기관: Rakesh V S

2020년 1월 4일

Last week was very rushed. Should be more patient in teaching.

교육 기관: Paulo G

2018년 11월 29일

great content, but the grader software needs some improvement

교육 기관: Prabhjot S A

2020년 5월 2일

First 4 weeks were awesome but last 2 weeks were mediocre.

교육 기관: Harsh D

2019년 6월 2일

Awesome course, just wish it had more info on hessian.

교육 기관: Mark R

2019년 1월 3일

Good grounding in fundermental material needed for ML

교육 기관: William S

2020년 1월 11일

Weeks 1-4 were great, 5-6 felt rushed and confusing

교육 기관: Shariq A

2019년 12월 24일

Good course ..but need to elaborate a little more

교육 기관: Naseem A

2021년 12월 20일

get confused when going to last part this course

교육 기관: Tess P

2020년 4월 14일

I would love to have more practice exercises

교육 기관: SHIVANG S

2020년 4월 25일

Programming assignments were not so useful

교육 기관: mnavidad

2018년 11월 24일

This course was super hard but worth it...

교육 기관: Salah E

2020년 7월 23일

again it is too hard and pushed my limits

교육 기관: Kleider S V G

2021년 8월 23일

A very orderly course, in my opinion.

교육 기관: Kevin k

2021년 8월 20일

P​rof Cooper is a master at his craft

교육 기관: Eric G

2019년 7월 16일

A brief but also very in-depth course

교육 기관: sreekar

2018년 10월 23일

Great instruction and good materials.

교육 기관: Gurbaaz S G

2021년 5월 14일

it was good and interesting course

교육 기관: Julia K

2019년 10월 6일

A challenging but exciting course!

교육 기관: Hizkia F C E

2022년 3월 24일

it's better to add more examples

교육 기관: Shivang G

2021년 9월 1일

To the point and decent depth