A History of Algorithms

Another way of looking at algorithms…

Discovering or reviewing the fundamental algorithms of data science… These are essential tools for 21st-century businesses, and a key skill for data professionals.

Find out which algorithms were created in the early days of computing and are an integral part of the modern business world.

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What's inside

Chapter 1

The History of Algorithms: Preface

Chapter 2

Algorithm No. 1 – The Decision Tree: the essential algorithm

Chapter 3

Algorithm No. 2 – Random Forest: intuitive and easy to train

Chapter 4

Algorithme N°3 – Isolation Forest: for isolating anomalies

Chapter 5

Algorithm No. 4 – Linear regression to understand the main principles of machine learning

Chapter 6

Algorithm No. 5 – Understanding the “k-nearest neighbours” method

Chapter 7

Algorithm No. 6 – And how about if we used LASSO? To understand linear regularisation techniques

Chapter 8

Algorithm No. 7 – LIME or SHAP to understand and interpret your machine learning models

Chapter 9

The last word from Sylvain Le Corff, teacherof statistics at Telecom Sud Paris

This e-Book is a tool intended to help you discover or review the most commonly-used algorithms and their underlying mathematical processes.

It is also an opportunity to see them in a different light, to move away from the actual codes a little and to look at simple use cases, as well as reading the opinions of the experts who have made this booklet possible. We hope that it will be useful to you in your daily use of algorithms.