Machine learning

'A manual for the 21st-century citizen.

This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable.

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence.

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence.

This book gathers outstanding research papers presented at the 8th International Joint Conference on Advances in Computational Intelligence (IJCACI 2024), held in hybrid mode at South Asian University, New Delhi, India, during October 5–6, 2024.

One of the most influential actors in spreading Islamist violence across the Sahel is Jama’at Nasr Al Islam Wal Muslimin (JNIM).

This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains.

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12-13, 2024.

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection.

A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.

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 gathers outstanding research papers presented at the 8th International Joint Conference on Advances in Computational Intelligence (IJCACI 2024), held in hybrid mode at South Asian University, New Delhi, India, during October 5–6, 2024.

This book highlights the state of the art of machine learning applied to the science of gravitational waves.

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.

The book is a collection of best-selected research papers presented at the Fourth International Conference on "e;Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2024),"e; organized by Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, India.

This book focuses on the prominent innovative business models and employability implications of artificial intelligence in the healthcare industry 4.

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics.

This book gathers outstanding research papers presented at the 8th International Joint Conference on Advances in Computational Intelligence (IJCACI 2024), held in hybrid mode at South Asian University, New Delhi, India, during October 5–6, 2024.

This book focuses on the prominent innovative business models and employability implications of artificial intelligence in the healthcare industry 4.

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.

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.

How we think and react has a direct impact on experience design, but often designers don't understand the "e;whys"e; behind their best practices, leaving them at risk for misusing or underutilizing those designs.

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 explores various optimization techniques that can be used to address problems in the real world.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain.

This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning.

This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains.

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 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 explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics.

The book is a collection of best-selected research papers presented at the Fourth International Conference on "e;Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2024),"e; organized by Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, India.

This book contains select papers presented during the 6th National Conference on Multidisciplinary Analysis and Optimization.

This book investigates the relationship between empirical reality and theoretical modelling in Earth sciences, focusing on how empirical experiments and theoretical models interact.

This book contributes to the advancement of aerospace technology and the optimization of navigation systems, thereby fostering innovation and progress in the field.

This book contains select papers presented during the 6th National Conference on Multidisciplinary Analysis and Optimization.

This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies.

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12-13, 2024.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain.

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies.

 Unlock the world of data science—no coding required.

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.

One of the most influential actors in spreading Islamist violence across the Sahel is Jama’at Nasr Al Islam Wal Muslimin (JNIM).

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy.

This book explores the transformative effects of AI and ML on software engineering.

This book highlights the state of the art of machine learning applied to the science of gravitational waves.