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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


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.


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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451 - 475 de 928 revisiones para Mathematics for Machine Learning: Multivariate Calculus

por DIAZ R G A

1 de oct. de 2020

excelente curso con todos los temas bien explicados

por ignacio

29 de jun. de 2018

Excellent way of explaining such abstract concepts.

por Charchit S

2 de dic. de 2020

This course give's you a head start in ML journey.

por Adryan R A

6 de oct. de 2021

One of the best course for mathematic in coursera

por Anbu V

4 de mar. de 2019

Good revision for the calculus' application in ML

por anirbid g

1 de oct. de 2018

great course, wonderful instructors. thanks much.

por Raphael M

26 de mar. de 2022

e​xcellent teachers , very well produced videos

por Matthew S

20 de sep. de 2020

A really enjoyable and well put together course!

por Nitish T

12 de jul. de 2019

Very relevant course. It was very helpful to me.

por Andreas Z

11 de jul. de 2018

Just as good as the first course of this series.

por Naol Z

20 de mar. de 2022

This is what i was looking for!! amazing course

por Osama K

11 de dic. de 2020

Thanks, it was a lot of fun taking this course.

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

E​njoyed leaning a lot with the instructors