Introduction

This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics.

Topics included in this book include:

- Categorized machine learning algorithms

- Player monopoly in cricket teams.

- Chain type estimators

- Log type estimators

- Bivariate survival data using shared inverse Gaussian frailty models

- Weblog analysis

- COVID-19 epidemiology

This reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field.