This book introduces and provides an analysis of the basic concepts of algorithms, data, and computation and discusses the role of algorithms in ruling and shaping our world.
Embark on a journey through the intricate landscape of predictive modeling, where the fusion of conceptual clarity and robust statistical techniques creates powerful tools for decision-making.
This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content for video games (game levels, quests, characters, etc.
This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content for video games (game levels, quests, characters, etc.
This book introduces and provides an analysis of the basic concepts of algorithms, data, and computation and discusses the role of algorithms in ruling and shaping our world.
This book presents selected papers from the Proceedings of the International Conference on Innovative Infrastructures, ICII 2023, held in Kuala Lumpur, Malaysia, covering topic areas in mining geomechanics, ground control, engineering geology, geohazards, soft computing, and underground structures.
This book presents selected papers from the Proceedings of the International Conference on Innovative Infrastructures, ICII 2023, held in Kuala Lumpur, Malaysia, covering topic areas in mining geomechanics, ground control, engineering geology, geohazards, soft computing, and underground structures.
This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains.
This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains.
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices.
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices.
This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones.
This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones.
Geospatial tools to Groundwater Resources explain the most recent methods in Geographic Information Systems (GIS) and geostatistics as they apply to groundwater through complete case studies that demonstrate actual remote sensing applications in this field.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
Cutting-edge machine learning principles, practices, and applicationsThis comprehensive textbook explores the theoretical under pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems.
If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master--;a popular development framework and platform for building, running, and managing agentic applications.
This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field.
This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8-10 April 2024.
This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8-10 April 2024.
The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 - 13 January 2024.