Machine learning

This book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering.

This book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering.

This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs).

The book is a collection of best selected research papers presented at 2nd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2023) organized by Anurag University, Hyderabad, India, during 22-23 December 2023.

AI has acquired startling new language capabilities in just the past few years.

The book is a collection of best selected research papers presented at 2nd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2023) organized by Anurag University, Hyderabad, India, during 22-23 December 2023.

This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI.

This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI.

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another.

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another.

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases.

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform.

Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge.

Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL).

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges.

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems.

This book demonstrates how to use Oracle Cloud Infrastructure (OCI) and Hugging Face technologies to develop advanced NLP solutions.

This book gives a complete introduction to cybersecurity and its many subdomains.

This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials.

This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials.

This book gives a complete introduction to cybersecurity and its many subdomains.

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network.

This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products.

This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender.

This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender.

This book presents the fascinating intersection of human cognition and artificial intelligence.

This book presents the fascinating intersection of human cognition and artificial intelligence.

This book, for the first time, collects important current topics in the area of sign language translation in a single volume.

This book, for the first time, collects important current topics in the area of sign language translation in a single volume.

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure.

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure.

Reinforcement learning (RL) has led to several breakthroughs in AI.

Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research settingespecially for recent ML graduates and those moving from research to a commercial environment.

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems.

This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards.

This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards.

Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data.

This book presents a collection of high-quality, peer-reviewed research papers from the 8th International Conference on Information System Design and Intelligent Applications (ISDIA 2024), held in Dubai, UAE, from 3-4 January 2024.

This book presents a collection of high-quality, peer-reviewed research papers from the 8th International Conference on Information System Design and Intelligent Applications (ISDIA 2024), held in Dubai, UAE, from 3-4 January 2024.

Business runs on tabular data in databases, spreadsheets, and logs.

This book highlights the numerous potentials and concerns involved with using the metaverse.

This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators.

This book presents a comprehensive framework for analyzing, evaluating, and guiding AI for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators.

The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition.