Practical Machine Learning for Data Analysis Using Python

Chapter 3

Machine learning techniques

Abstract

Machine learning uses the theory of statistics to build mathematical models, as the main objective is to yield inferences from a sample. Once a model is built, its representation and algorithmic solution for interpretation needs to be competent as well. In some applications, the competence of the machine learning algorithm might be as important as its classification accuracy. Machine learning is used in several fields, including forecasting, anomaly detection, and biomedical data analysis as a decision support element. The purpose of this chapter is to help scientists select an appropriate machine learning technique and guide them using optimal strategies by employing real-time databases, in addition ...