This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination.

The book is split into two parts: Part One concentrates on the philosoph...

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time ag...

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive soci...

DATA SCIENCE WITH SEMANTIC TECHNOLOGIES

This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a uniq...

Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real...

The Mathematics of Games: An Introduction to Probability takes an inquiry-based approach to teaching the standard material for an introductory probability course. It also discusses diff...

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine,...

Mastering Feature Engineering Principles and Techniques for Data Scientists (Early Release)