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The Statistics and Calculus with Python Workshop
book

The Statistics and Calculus with Python Workshop

by Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos, Amit Chaurasia, Rohan Chikorde, Sanjin Dedic, Tim Hoolihan, Ravi Ranjan Prasad Karn, Alberto Manzini
August 2020
Beginner to intermediate content levelBeginner to intermediate
740 pages
13h 41m
English
Packt Publishing
Content preview from The Statistics and Calculus with Python Workshop

6. Matrices and Markov Chains with Python

Overview

In this chapter, we intend to foray into matrices and their applications using Python. We will look at different matrix manipulation techniques that will help us use them efficiently to build useful tools in real-world applications.

By the end of this chapter, you will understand matrices and be able to perform operations on them. You will implement one of the applications of matrices, known as Markov chains, using transition matrices and then use Markov chains and the Markov property to solve real-world problems.

Introduction

A matrix is a rectangular array of numbers or expressions arranged in rows and columns and considered as a single entity. As we are considering a matrix as a single ...

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Publisher Resources

ISBN: 9781800209763Supplemental Content