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Presents theories, techniques, and methods used for analyzing algorithms. This text provides information on asymptotics, including Rice's method, the Euler and Boole... Læs mere
This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in... Læs mere
Based on the author’s experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code.
Showing test managers what to focus on strategically, tactically, and operationally, this book covers various aspects of test management for those inheriting or starting a test... Læs mere
Knowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support twenty-first century information management and discovery.
This book provides techniques for offshore center managers and head office managers to motivate and manage globally... Læs mere
Written by experienced LabVIEW™ developers and engineers, this guide explains how to integrate LabVIEW into real-life applications. Each chapter... Læs mere
Present book highlights these challenges and provide an integrating framework for these technologies illustrating role of blockchain in all... Læs mere
Maintaining a practical perspective along with theoretical explanations, this book explores the concepts, discussion, analysis of techniques and tools about what... Læs mere
Examines the Capability Maturity Model[registered] and describes the basic goals, practices, architecture, and definitions of the... Læs mere