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An accessible introductory to advanced text focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering.
Immersive Sound Volume II: The Design and Practice of Binaural and Multi-Channel Experiences is a collection... Læs mere
This Element introduces computability theory and its use in explaining empirical phenomena. Aimed at advanced undergraduates and graduates in philosophy, it... Læs mere
This book presents a semantic-based explainable framework based on knowledge graph and semantic web technology focusing on designing XAI system that... Læs mere
Game AI Uncovered: Volume Five continues the series with another collection of chapters from twenty-three of the top game AI professionals and researchers, from around the... Læs mere
This book is your definitive guide to mastering DeepSeek, a leading open-source Large Language Model (LLM), and leveraging its power through practical Python programming. It is... Læs mere
This textbook for upper-year undergraduates and graduates concentrates on mining networks, a subfield within data science. Changes and updates to this edition include: new... Læs mere