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Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives.
Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter.
CS Why is a book that presents a straightforward, curiosity-based approach to filling in the blanks around common,... Læs mere
Education and Role-Playing Games: TeachRPG – Tabletop Role-Playing Games in the Classroom, Vol II brings... Læs mere
This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.
This book offers a comprehensive and practical guide to Games User Research (GUR). Blending theory and hands-on experience,... Læs mere
This interdisciplinary guide is designed to equip aspiring and professional practitioners across game development and related creative fields with the... Læs mere
Legal Risks in the Software Development Lifecycle addresses the growing complexity of software development as both a technical and legal discipline. It... Læs mere
Middleware is the bridge that connects distributed applications across different physical locations, with different hardware platforms, network... Læs mere
Using everyday computational power to tackle complex and seemingly unsolvable math problems
This is a comprehensive guide to the process of generating ideas for creating character and environment art. It shows comprehensive workshops and techniques to embed the fundamentals of designing characters and environments for games and film.
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves... Læs mere