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Mathematics for computer vision (Coursera)

The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis, probability theory, linear algebra.
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Matrix Algebra for Engineers (Coursera)

This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus [...]
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Mathematics for Machine Learning: Linear Algebra (Coursera)

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these [...]
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Quantitative Foundations for International Business (Coursera)

This course provides the essential mathematics required to succeed in the finance and economics related modules of the Global MBA, including equations, functions, derivatives, and matrices. You can test your understanding with quizzes and worksheets, while more advanced content will be available if you want to push yourself. This [...]
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The Finite Element Method for Problems in Physics (Coursera)

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that [...]
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Average: 6 ( 3 votes )

Fundamentos de Álgebra Lineal (edX)

Self Paced
Fundamentos de Álgebra Lineal (edX)
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El álgebra lineal son las matemáticas de la era digital; comprende sus bases y prepárate para entrar al nuevo escenario tecnológico. Conoce sus fundamentos y acelera tu formación académica y profesional. Nuestro curso de álgebra lineal te propone acercarte a los fundamentos de esta importante materia para comprender las [...]
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A-Level Further Mathematics for Year 12 - Course 2: 3 x 3 Matrices, Mathematical Induction, Calculus Methods and Applications, Maclaurin Series, Complex Numbers and Polar Coordinates (edX)

Mar 12th 2021
A-Level Further Mathematics for Year 12 - Course 2: 3 x 3 Matrices, Mathematical Induction, Calculus Methods and Applications, Maclaurin Series, Complex Numbers and Polar Coordinates (edX)
Course Auditing
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Develop your thinking skills, fluency and confidence in A-level further maths and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain [...]
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Algèbre linéaire de première année d’enseignement supérieur (FUN)

Jul 20th 2020
Algèbre linéaire de première année d’enseignement supérieur (FUN)
Free Course
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L'algèbre linéaire est utilisée dans de nombreux enseignements, outils et méthodes des ingénieurs. Les fondamentaux de cette matière sont souvent traités en 1ère année d'enseignement supérieur français mais sont souvent mal compris par les étudiants. En particulier cette année 2020 où la fin s'est déroulée à distance. Cette formation [...]
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Average: 4 ( 1 vote )

The Math of Data Science: Linear Algebra (edX)

This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.
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Essential Math for Machine Learning: R Edition (edX)

Learn the essential mathematical foundations for machine learning and artificial intelligence. Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like “algebra’ and “calculus” fill you with dread? Has it been so long since you studied [...]
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