Practical Machine Learning for Data Analysis Using Python

Chapter 1

Introduction

Abstract

Recently many achievements in artificial intelligence, machine learning, and data mining have been realized. Data collected from several sources contain valuable information that cannot be observed directly but is hidden in the data structure. This hidden information can be transformed into useful information by using various machine learning techniques. Moreover, data analysis using diverse machine learning algorithms can become a vital instrument in extracting significant information hidden in the data. Data analysis is used in many areas for decision support. Typically, collected data is evaluated by experts in the field, but this might result in unreliable or inefficient decision support. Consequently the aim ...