返回到 Mathematics for Machine Learning: Multivariate Calculus

4.7

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2,401 个评分

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366 条评论

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....

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.

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.

筛选依据：

创建者 Grigoraș V

•Dec 29, 2018

The professors are great! Wish we had part of such enthusiasm all throughout high-school. I bet people would enjoy math a lot more.

创建者 Aymeric N

•Nov 12, 2018

Great lectures augmented with interesting and practical coding assignments. I really enjoyed this course on multivariate calculus.

创建者 Gauri S

•Nov 24, 2019

It is a good course to understand where Calculus can applied to machine learning. It inspires me to pursue a MS in Data Science.

创建者 Dhritiman S

•Nov 29, 2019

The course was excellent. I only wish the final few lessons covered Matrix equations for linear and non-linear least squares.

创建者 Gergo G

•May 01, 2019

Very good course on basic mathematics for machine learning. Good examples, some homework and very enthusiastic professors :)

创建者 Liam F

•Mar 24, 2019

Very well put together, a bit difficult in certain sections but all mysteries can be unraveled by a quick google. Thank you!

创建者 Abdul W

•Aug 14, 2019

Efficient tutors who were able to inculcate interest in me towards finding out the roots of machine learning algorithms.

创建者 sumit

•Oct 09, 2019

Really Challenging courses. The Last three weeks were really difficult to complete but it really gave some detail idea.

创建者 Vibhutesh K S

•May 18, 2019

I think neural networks was unnecessary. It was very concise to understood by anybody without prior knowledge about it,

创建者 丁榕

•Sep 05, 2018

Totally like it!!!! Really fundamental and both of the two lecturers have made every important key points quite clear.

创建者 Mithun B

•Oct 15, 2018

Really liked the course. If there are more of neural network course that Imperial College can come up would be best.

创建者 Sameen N

•Feb 22, 2019

It us good course and gave me basic understanding of multivariate calculus. It provide insight of gradient descent.

创建者 imran s

•Dec 02, 2018

Well explained and I would say also https://www.mathsisfun.com/algebra/taylor-series.html to get some more details.

创建者 Hamza a

•Oct 23, 2018

This one is a very good course and also very well organized. I also have used khan academy for making things clear

创建者 Xiaoyuan C

•Jun 05, 2018

Fabulous applied mathematics course! It is so interesting that I cannot believe that it is a mathamatical course.

创建者 Serge H k

•Dec 12, 2018

I love the assignments. It was fun being able to translate mathematics equations and algorithms into python code

创建者 Shraavan S

•Jan 06, 2019

The intuition is explained very clearly. Graphs in 2D and 3D are used effectively to clearly express the idea.

创建者 Aleksey I

•Apr 22, 2018

Great course. Might be missing a few small details that will be hopefully filled in for the next iterations.

创建者 Mohammad S A

•Nov 29, 2019

this is a very good course to learn machine learning basics. I will suggest this course to my friends also.

创建者 Mahrukh T

•Oct 06, 2019

Amazing course to gain firm understanding of mathematical concepts underlying Machine Learning! Thank you.

创建者 Chokdee S

•Aug 14, 2019

It's really great course who want to study gradient decent using multivariate calculus from the ground up.

创建者 Alphanso W

•Dec 22, 2019

For the first time, I understand calculus. The explanations are clear and I am able to follow. Thank you.

创建者 Eric

•Jun 30, 2019

quite challenging. when get confused dont give up; look for other sources for explanations. great course.

创建者 Ashlee H

•Nov 23, 2019

Helpful look into the more specific details to the mathematics behind core concepts of machine learning.

创建者 Edwin G P P

•Oct 04, 2019

It is a very good course for learning about the basic mathematics for machine learning and python tools.