# Introduction

Large datasets are often comprised of hundreds to millions of individual data items. It is easier to work with this data and operate on it when it is represented in the form of vectors and matrices. Linear algebra is a branch of mathematics that deals with vectors and operations on vectors. Linear algebra is thus an important prerequisite for machine learning and data processing algorithms.

This tutorial covers the basics of vectors and matrices, as well as the concepts that are required for data science and machine learning. It also introduces you terminology, such as "dot product", "trace of a matrix", etc.

# Vectors and their properties

## What is a Vector?

Vectors can be thought of as an array of numbers whe...