# Math

## Essential Definitions in Probability Theory that You Need to Know

In this post, we are going to walk through the Essential Definitions in Probability Theory. Understanding these concepts is critical …

## Probability Theory and its Huge Importance in Machine Learning

Probability theory is the branch of mathematics involved with probability. The notion of probability is used to measure the level …

## Singular Value Decomposition (SVD)

This tutorial is dedicated to explaining the concept of Singular Value Decomposition (SVD) and its applications. You will learn how …

## Matrix Eigendecomposition, its Importance, and the Applications

This tutorial is dedicated to explaining the concept of matrix decomposition, its definition, and the process. You will learn how …

## Linear Independence of Vectors and Its Importance

This tutorial in dedicated to the concept of linear independence of vectors and its associations with the solution of linear …

## Vector Norm in Machine Learning – An Introduction

In this article, I will explain the vector and matrix norms. You will realize why they are essential, and what …

## Matrix Operations In Practice

Have you ever wondered why you need to know matrix operations? The answer is deadly simple: To work with matrices! …

## Basic Linear Algebra Definitions that You Hear Every Day

Do you want to start learning Machine Learning and keep hearing buzzwords related to Linear Algebra? Vector, matrix, tensor? Those …

## The Remarkable Importance of Linear Algebra in Machine Learning

In this post, we address the importance of Linear Algebra in Machine Learning and discuss why we have to take …