Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks.
This book highlights and explains the details of machine learning models used in geospatial data analysis. It... Læs mere
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have... Læs mere
Explores the transformative potential of ML technologies in agriculture. It delves into specific applications, such as... Læs mere
This book demystifies the topic of Artificial Intelligence for readers of varying backgrounds. The content should enable many people to discuss and follow ongoing... Læs mere
This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including... Læs mere
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections... Læs mere
This guide gives researchers the tools they need to amplify their analytical reach through the integration of content... Læs mere
This new edition has been revised and expanded with new drawings to give the reader a complete picture of HVAC and heat pump systems.