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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

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.

DP

25 de nov. de 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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476 - 500 de 960 revisiones para Mathematics for Machine Learning: Multivariate Calculus

por Felipe C

24 de mar. de 2020

Great course and the materials are very helpful

por Linda D

22 de feb. de 2020

Great course for some general methods and math.

por Apoorv M

10 de abr. de 2021

awesome instructors with well explained course

por Hyun H M

17 de oct. de 2020

Great course to understand vector and calculus

por Neelam U

1 de sep. de 2020

I loved the application aspect of this course!

por Archana D

6 de mar. de 2020

it was great to have the formulas as reference

por Mohammad M

24 de jul. de 2018

Perfect start point to learn machine learning.

por Tianlu W

26 de jul. de 2022

Excellent course that combines MVC and Python

por Bruno F

14 de oct. de 2018

Nice course. Very useful for machine learning

por Deleted A

15 de sep. de 2018

Fantastic course with a very nice accent! :-)

por Marco C

30 de abr. de 2018

Another fantastic course by Imperial College.

por wang x

31 de ago. de 2019

Very friendly for some one new to the topic.

por Teiichi A

5 de ago. de 2021

Enjoyed leaning a lot with the instructors

por Pranav N

25 de ago. de 2020

Great continuation from the previous course

por Manmohan K

15 de ago. de 2020

Such good visualizations! Must have course.

por JARMOUNI A

15 de abr. de 2020

Excellent course, I have really enjoyed it.

por UMAR T

10 de mar. de 2020

excellent course taught by the instructors.

por Claudio P

30 de dic. de 2019

Excellent material and awesome instructors!

por Moez B

10 de sep. de 2019

Excellent course with engaging instructors.

por Greg B

30 de oct. de 2018

Great course with highly relevant material.

por Kevin C

5 de ago. de 2021

well structured course. Thank you for this

por Krishna E G

14 de sep. de 2020

Very informative, thanks to team coursera.

por BHARAT K

13 de jul. de 2020

think you for imperial college of london

por AYUSH M

17 de jun. de 2020

Excellent primer for multivariate calculus

por Rajkumar R

13 de jun. de 2020

I enjoyed the journey of learning with ICL