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Mathematics for Machine Learning: Multivariate Calculus
by Samuel J. Cooper , David Dye , A. Freddie Page- 4.7
Approx. 18 hours to complete
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. What is calculus?...
Mathematics for Computer Science
by Omar Karakchi , Dr Matthew Yee-King- 4.1
Approx. 38 hours to complete
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools....
Introduction to Logic
by Michael Genesereth- 4.4
Approx. 54 hours to complete
This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth....
Algebra & Algorithms
by Дмитрий ИльинскийTop Instructor , Alex Dainiak- 0.0
Approx. 30 hours to complete
Algebra is one of the definitive and oldest branches of mathematics, and design of computer algorithms is one of the youngest. Despite this generation gap, the two disciplines beautifully interweave. Secondly, algebraic structures and theorems can help develop algorithms for things having [at first glance] nothing to do with algebra, e....
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
by Guillermo Sapiro- 4.7
Approx. 21 hours to complete
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. Finally, we will end with image processing techniques used in medicine....
Теория графов
by Андрей РайгородскийTop Instructor , Андрей Купавский- 4.9
Approx. 25 hours to complete
Среди жителей Кёнигсберга была распространена такая практическая головоломка: можно ли пройти по всем мостам через реку Преголя, не проходя ни по одному из них дважды? В 1736 году выдающийся математик Леонард Эйлер заинтересовался задачей и в письме другу привел строгое доказательство того, что сделать это невозможно. Формула таинственным образом верна и для графов, которые называются "планарными"....
Discrete Mathematics
by Dominik Scheder- 3.4
Approx. 42 hours to complete
Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. This course attempts to be rigorous without being overly formal....
Современная комбинаторика (Modern combinatorics)
by Андрей РайгородскийTop Instructor , Дмитрий ИльинскийTop Instructor- 4.9
Approx. 32 hours to complete
Комбинаторика - это наука, которая, с одной стороны, богата исключительно красивыми постановками задач, зачастую доступными школьнику, а с другой стороны, это очень глубокая современная область знаний, без овладения инструментами которой невозможно серьезное понимание как большинства других фундаментальных дисциплин - анализа, алгебры, теории графов, теории вероятностей и др. , - так и многих прикладных проблем....
Математика в тестировании дискретных систем
- 0.0
Approx. 24 hours to complete
Математика является базой для программиста, инженера, тестировщика. Математические модели важны для понимания того, как будет работать та или иная система, цифровая схема, программа. В нашем курсе вы познакомитесь с классической моделью дискретного устройства – конечным автоматом. Вы разберетесь, поведение каких систем можно описать этой моделью. Научитесь строить проверяющие тесты. Приветствуется знание основ цифровой техники....
Data Science Math Skills
by Daniel Egger , Paul Bendich- 4.5
Approx. 13 hours to complete
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Topics include:...