Preparatory Course in Mathematics for Data Science

English
FORK 1014
0 Credits

Introduction

Linear Algebra is a branch of mathematics that is extremely useful in data science and machine learning, and vectors and matrices are the language used in almost all models. In this preparatory course, we give a quick review of the most fundamental concepts and tools from linear algebra.

Course content

Linear Algebra:

Matrix algebra including matrix multiplication, inverses, transposes
Vector algebra including inner products, span, linear independence and bases
Determinant, trace
Linear transformations including eigenvectors and eigenvalues
Definiteness of matrices

Disclaimer

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