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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
2,497개의 평가
387개의 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

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.

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.

필터링 기준:

Mathematics for Machine Learning: Multivariate Calculus의 390개 리뷰 중 201~225

교육 기관: Sergio S R

Nov 11, 2018

Excellent course. Instructors are clear and to the point.

교육 기관: David H

Jan 28, 2019

They know what students want to learn and teach it well.

교육 기관: Geoffrey K

Nov 14, 2018

A most intuitive way of learning calculus. Great course!

교육 기관: Yuichi M

Oct 28, 2018

From basic concept to profound and practical calculation

교육 기관: Rok Z

Jan 19, 2020

Great course with a lot of math and practical examples

교육 기관: Sujeeth S R S

Jan 12, 2019

very good introductory course to Multivariate Calculus

교육 기관: Ashutosh P

Sep 16, 2018

Great comprehensive course for Mathematics behind ML.

교육 기관: Maria B

Feb 11, 2020

Amazing course, everything is very well explained :)

교육 기관: Stephen G

Feb 02, 2019

Great course learned a lot Teacher was very engaging

교육 기관: ignacio

Jun 30, 2018

Excellent way of explaining such abstract concepts.

교육 기관: Anbu V

Mar 04, 2019

Good revision for the calculus' application in ML

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: Zhuofei D

Feb 22, 2020

Great course for some general methods and math.

교육 기관: Mohammad M

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: 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.