This book is presented as a resource for every teenager and an essential tool for parents and teachers. However, the authors specifically target it at computer-savvy, keyboard-comfortable teens who use the internet daily and want to learn how to secure their systems, preserve their digital lifestyles, and protect their data. The book aims to provide the important details needed to keep t

This open book is designed to accompany a graduate-level instructional design course: Game-Based and Adaptive Learning, but could also be used for undergraduate teacher education or instructional design courses. The original texts and material for this book came from the development of a course for Brandeis University as part of their MS in Learner Experience Design program. This materia

This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solv

The System Center Operations Manager data warehouse stores many objects, making it possible to report on performance, availability, configuration, and security. You can use data collected by Operations Manager for issue tracking, awareness, planning, and forecasting, all of which are important factors for maintaining and managing your environment. But understanding what to report on and

Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and t

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integrati

Financial Machine Learning surveys the nascent literature on machine learning in the study of financial markets. The authors highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and mach

It is highly likely that a reader of this guide will have encountered the term "TCP/IP" before beginning, even without knowing its specific meaning. The reason for this is simple: TCP/IP is ubiquitous. It is the most widely used Internetworking protocol suite today, a prominence gained largely through its fundamental role in operating the global Internet, which has profoundly transformed

Unmanned Aircraft Systems are an integral part of the US national critical infrastructure. The authors have endeavored to bring a breadth and quality of information to the reader that is unparalleled in the unclassified sphere. This open book will fully immerse and engage the reader / student in the cyber-security considerations of this rapidly emerging technology that we know as unmanne

Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate but also makes their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulatory oversight, and model documentation. B