🔧 The Battle of Data: Statistics vs Machine Learning

The goal of the paper is to investigate the fields of statistics and machine learning and look at the differences, similarities, usage, and ways of analyzing data in these two branches. Both branches of science allow interpreting data, however, they are based on different pillars: statistics on mathematics and the other on computer science – the focus of machine learning.

Introduction

Artificial intelligence together with machine learning is presently the technologically advanced means of extracting useful information from the raw data that is changing every day around us. On the contrary, statistics — a very old field of research of over 3 centuries — has always been regarded as a core discipline for the interpretation of the collected data and decision-making. Even though both of them share one goal of studying data, how the goal is achieved and where the focus is varies in statistics and machine learning.