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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

JT

Nov 12, 2018

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.

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.

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201 - Mathematics for Machine Learning: Multivariate Calculus 的 225 个评论(共 1,017 个)

创建者 Wang Z

Jul 2, 2018

A wonderful course. I learnt a lot after struggling to finish it. Some foundations of calculus might be needed since the lecturer goes through differntiation in a tremendous speed.

创建者 Shailesh B

May 11, 2020

Excellent contain and I enjoyed a lot during this course. Assignment part was very crucial because there was chance to improve our understanding by giving correct or wrong answer.

创建者 David C

Jul 25, 2018

I highly recommend this course.

Every Machine Learning student have to do it. Some concepts is so clearly explained that you will be able to perform better in following ML studies.

创建者 Julia G

Nov 12, 2020

I enjoyed a lot the visualizations and practical examples. They do help to improve mathematical intuition! Thanks a lot to the instructors, the lectures were clear and exciting!

创建者 David M

Jul 14, 2020

Both instructors explained things very clearly and I felt well-prepared for the quizzes. The subject matter was challenging for me, but isn't that what this whole site is about?

创建者 Nagaradhika

Jun 9, 2020

excellent teaching very good course for learners thank you so much for giving this pack of three courses . Tahnkyou coursera team, three instructors and Imperial college London

创建者 Pitiwat L

Oct 14, 2022

A lot of errors in lab and coding accessments. Many some exercises contain with a lot of latex code that it very hard to read. But, overall I would rate this course 5 stars!!

创建者 Dawn D

Mar 10, 2019

Really good introduction for things like regression and gradient descent. An extremely good refresher for calculus and extension from what is taught in school (in UK at least).

创建者 Marco A P

Aug 27, 2020

Very challenging course, but if you,re not afraid of numbers this is a great way to remember or "start to learn" advance and esential mathematic concepts for machine learning

创建者 Ramon M T

Sep 18, 2019

Excellent course to understand what is behind the techniques and why not high-level functions that are used in machine learning programming. Thanks for your teaching Dave, Sam

创建者 Marina P

Aug 28, 2019

Very practical and useful! I got an idea about what neural network is and what is inside of the regression algorithm. I enjoyed the course, although it was quite challenging.

创建者 Lalit D

Sep 1, 2021

Really insightful course, the coding exercises are supposed to be intermediate level but are more beginner friendly. So that's a plus point if you are a beginner in Python.

创建者 Rishabh A

Jun 9, 2019

Loved the course. Backpropogation section needs more elaborate explanation, where are we doing dot products, where are we doing matrix multiplications, things go confusing.

创建者 Frances L

May 22, 2024

I really liked the way instructor presented and also the exercises provided. He explained everything so clearly that I was able to finish the course in less than a month.

创建者 YUCHEN O

Apr 29, 2023

Very excellent course and friendly for the beginners! If you wanna dive in the machine learning area, this course is a good resource to give you some basic math knowledge.

创建者 THIRUPATHI T

May 21, 2020

Excellent course for learners who likes self-learning. They will enjoy a deep understanding of the multivariate notions like the Hessian, Taylor series, and Regression.

创建者 Marwa A E K

Nov 12, 2019

This course is really informative and builds intuition for the topics covered, I'd like to specially thank Sam for his amazing way of teaching and his visualizations :)

创建者 Alexander V

Mar 17, 2018

Excellent course. The material is taught in a precise, clear and intuitive manner. It would be great if a summary of the course will be given in form of some document.

创建者 ASIFIWE E

Mar 3, 2021

Strongly agree that, this is best course ever at the beginning of Machine Learning journey. Thank you Dr. Sam and other lecturers. thank you so much Imperial College

创建者 VARUN S

Nov 8, 2020

It was way difficult compared to what I thought. Though I did not understand 100%, it gave me confidence to dig deeper if required. Thanks for this wonderful course.

创建者 Shammunul I

Apr 12, 2020

One of the best courses on mathematics for machine learning. I already knew Calculus but this course reinforced and clarified many of these already learned concepts.

创建者 Chi W

May 17, 2018

Excellent course! It helps understand to take the sandpit as an example for learning Jacobian, Hessian and steepest algorithm stuff. More than boring math formulas.

创建者 aya t

Aug 6, 2020

I really like this series so far and felt in love with instructors and the way they teach ,and i am so excited to the third and last course of this specialization.

创建者 Akshaya P K

Jan 2, 2019

Thank you! This was an excellent course. I think it would engage learners of any level. quality of the content, delivery, exercises and assignments were impeccable.

创建者 min x

Apr 9, 2020

Great course, and i'm able to use these concepts more intuitively and confidently. The last 2 weeks were not as clear and a bit of a rush, but the rest was great!!