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Volver a Mathematics for Machine Learning: Multivariate Calculus

Opiniones y comentarios de aprendices correspondientes a Mathematics for Machine Learning: Multivariate Calculus por parte de Imperial College London

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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....

Principales reseñas

SS

3 de ago. de 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.

JT

12 de nov. de 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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551 - 575 de 928 revisiones para Mathematics for Machine Learning: Multivariate Calculus

por Lincoln M d O

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3 de jul. de 2020

very instructive course

por Gen L

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16 de nov. de 2019

This course is awesome!

por Pham M Q

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19 de oct. de 2019

Very good for beginner.

por iorilu

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3 de jun. de 2021

interesting and useful

por Felipe C

•

25 de abr. de 2021

Quite good. Good pace.

por Marc G

•

12 de oct. de 2018

Brilliant instructors!

por Jiacheng L

•

27 de ene. de 2022

Really fancy course !

por YUZE F

•

30 de oct. de 2021

thanks! helpful to me

por greg m

•

26 de abr. de 2020

Very good. Enjoyed it

por Subhodip P

•

28 de nov. de 2020

Really leaned a lot

por Naveen K

•

2 de dic. de 2019

I love this course.

por Ka P ( Y

•

15 de oct. de 2018

Very well teaching.

por Chen T

•

1 de oct. de 2018

awesome! I love it!

por Md. F I

•

5 de jun. de 2022

V​ery good course.

por Deleted A

•

24 de jul. de 2021

E​xcellent course.

por Agung W

•

26 de mar. de 2021

a little difficult

por Hernan D

•

20 de ene. de 2021

Very useful for ML

por Andrês R O

•

29 de dic. de 2020

Muito bom o curso!

por Raju k

•

20 de jul. de 2020

its amazing course

por Himanshu S

•

2 de jul. de 2020

Loved this course.

por Manikant R

•

8 de jun. de 2020

easy to understand

por Zhuoyu C

•

25 de nov. de 2019

Good review for me

por I G P

•

29 de ago. de 2018

Very Intuitive. :)

por Francesc B

•

25 de may. de 2018

Excellent 👍🏻👌🏻

por EDWARD J R

•

18 de nov. de 2020

Wonderfull Course

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