Chevron Left
Вернуться к Mathematics for Machine Learning: Multivariate Calculus

Отзывы учащихся о курсе Mathematics for Machine Learning: Multivariate Calculus от партнера Имперский колледж Лондона

Оценки: 4,966
Рецензии: 888

О курсе

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....

Лучшие рецензии

3 авг. 2019 г.

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 нояб. 2018 г.

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.

Фильтр по:

326–350 из 892 отзывов о курсе Mathematics for Machine Learning: Multivariate Calculus

автор: prudgin g

23 янв. 2020 г.

The authors of this course do their best to give intuitive understanding. Great course!

автор: Karen A

3 июля 2018 г.

Really clear, provided a thorough understanding of how steepest descent / ascent works.

автор: Jerónimo G

10 окт. 2020 г.

Estuvo padre el curso, la manera en la que explicaban era bastante simple y entendible

автор: Jose S

21 сент. 2019 г.

Very educational if you want to get behind some of the mathematics in machine learning

автор: Manjunath H

10 июля 2019 г.

Very organised. Assignments are great to practically apply the concepts into practice.

автор: Ishan P

27 янв. 2019 г.

Wonderful for all mathematics behind machine learning. I really enjoyed completing up.

автор: Ramakrishnan.K

12 мая 2020 г.

High school calculus retold with machine learning relevance and the magic has worked!

автор: David N

22 апр. 2021 г.

Great course to get into calculus as applied to machine learning. Great instructors.

автор: Sagnik M

7 авг. 2020 г.

Everyone should take this course before stepping into the ocean of Machine Learning.

автор: Yamil V

19 мая 2020 г.

Lucid explanations of fairly complicated concepts. I learned a lot from this course.

автор: Muhammad U R

14 июля 2020 г.

Hello. This is an extraordinarily tremendous course to learn multivariate calculus.

автор: Trishita M

12 июля 2020 г.

Excellent course to get started for learning the math behind Machine Learning,etc.

автор: Aditya M

10 мая 2020 г.

this course is really helpful for building mathematical skills for machine learning

автор: Ajay S

8 апр. 2019 г.

really a great course for learning calculus for mathematics. thanks for teaching us

автор: T K

21 июля 2020 г.

Right amount of practice and programming assignments, helped in building intuition

автор: Fabian B

16 июня 2019 г.

Challenging, but very exciting. Learned a lot interesting fundamentals. Thank you.

автор: J G

23 апр. 2018 г.

It is a very good course about the Mathematics behind the Machine Learning models.

автор: Tze C L

12 февр. 2021 г.

Intuitive and practical guide to calculus with applications for machine learning.

автор: Aishik R

11 янв. 2020 г.

Explanation on derivative of a vector wrt Matrix would have been great e.g, dZ/dW

автор: Suyog P

21 авг. 2019 г.

Excellent course to start for Machine Learning and revise Multivariable Calculus.

автор: Carlos A V P

12 янв. 2022 г.

F​ácil de entender y con un buen contenido introductorio, te deja listo para ML

автор: Jorge L C T

26 авг. 2021 г.

This course it´s great i love applied maths and the way the themes were given !

автор: Daniel W

13 июня 2020 г.

Awesome class. Highly recommended. Both instructors among the best on Coursera.

автор: Oscar S

20 мая 2020 г.

The course filled up my expectatives and the lecturers teachs in a simply form.

автор: Shmuel S

21 авг. 2019 г.

Loved the course as it gives very concrete example to somehow abstract concepts