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
3,065개의 평가
515개의 리뷰

## 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

Aug 04, 2019

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

Nov 26, 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.

필터링 기준:

## Mathematics for Machine Learning: Multivariate Calculus의 517개 리뷰 중 276~300

교육 기관: anirbid g

Oct 01, 2018

great course, wonderful instructors. thanks much.

교육 기관: Nitish K T

Jul 12, 2019

Very relevant course. It was very helpful to me.

교육 기관: Andreas Z

Jul 11, 2018

Just as good as the first course of this series.

교육 기관: Luis F C R

Mar 24, 2020

Great course and the materials are very helpful

교육 기관: Zhuofei D

Feb 22, 2020

Great course for some general methods and math.

교육 기관: Archana D

Mar 06, 2020

it was great to have the formulas as reference

Jul 25, 2018

Perfect start point to learn machine learning.

교육 기관: Bruno F

Oct 14, 2018

Nice course. Very useful for machine learning

교육 기관: Luciano M

Sep 15, 2018

Fantastic course with a very nice accent! :-)

교육 기관: Marco C

May 01, 2018

Another fantastic course by Imperial College.

교육 기관: wang x

Sep 01, 2019

Very friendly for some one new to the topic.

교육 기관: JARMOUNI A

Apr 15, 2020

Excellent course, I have really enjoyed it.

교육 기관: UMAR T

Mar 10, 2020

excellent course taught by the instructors.

교육 기관: Antonio C P

Dec 30, 2019

Excellent material and awesome instructors!

교육 기관: Moez B

Sep 11, 2019

Excellent course with engaging instructors.

교육 기관: Greg B

Oct 31, 2018

Great course with highly relevant material.

교육 기관: Arthur Z

Jul 03, 2018

Very high quality lecturers and material.

교육 기관: Learner4Life

Nov 10, 2018

Great course! Especially the first half.

교육 기관: Shashank S

Nov 13, 2019

A nice course on multivariate calculus.

교육 기관: 희랑 이

Feb 12, 2019

I think this course will help me a lot.

교육 기관: Srikar V

Apr 08, 2018

One of the best courses that I've done!

교육 기관: Marco K

May 07, 2020

Very well taught course; good build up

교육 기관: Michael P M

Apr 19, 2020

Challenging course, but worth doing.

교육 기관: Atul S

Jan 22, 2020

Thank you very much for this course

교육 기관: Sarthak G

Oct 30, 2018

it was awesome learning this course