Volver a Mathematics for Machine Learning: Multivariate Calculus

4.7

878 calificaciones

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134 revisiones

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....

por 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.

por JT

•Nov 13, 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.

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136 revisiones

por Serge H kamga

•Dec 12, 2018

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

por Oleg Biller

•Dec 12, 2018

Excellent summaries of important points.

por Aviv Peleg

•Dec 06, 2018

many topic were explained badly

por Angelo C0d3r

•Dec 05, 2018

Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.

por imran sarwar

•Dec 02, 2018

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

por Paulo Geyer

•Nov 29, 2018

great content, but the grader software needs some improvement

por Mani Sadegh Zadeh

•Nov 29, 2018

Excellent course

por Daniel Popescu

•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.

por Sergii Tkachov

•Nov 25, 2018

Nice Course. It is well structured and is interesting to follow.

por Saurav Banka

•Nov 25, 2018

An intuitive introduction to multivariate calculus and its applications in Machine Learning - the perfect course for a budding computer scientist.

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