Machine learning

The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of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.

This book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating diseases such as diabetes and drug addictions.

Explore Generative AI and understand its key concepts, architecture, and tangible business use cases.

Explore Generative AI and understand its key concepts, architecture, and tangible business use cases.

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

In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations.

In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations.

This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.

This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.

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.

Deriving business value from analytics is a challenging process.

Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health.

Explore Snowflake's core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery.

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during 5-6 January 2024.

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during 5-6 January 2024.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code.

Due to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and computer science.

This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks.

Did you ever think that the way you interact with other human beings, entities, and organizations can be measured for building a harmonious society?

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards.

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards.

This is the first book completely dedicated to positioning and navigation using machine learning methods.

This is the first book completely dedicated to positioning and navigation using machine learning methods.

Develop and implement AI strategies aligned with business goals, including operating models and partnership strategies.

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced.

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced.

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning.

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning.

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC).

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC).

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management.

This book systematically elaborates on the intelligent information processing technology for a bioinspired polarization compass and inertial integrated navigation system.

This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines.

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.

This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights before taking-off to automatic analysis of occurred flight events, for commercial airlines.

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

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).

This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML).

This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML).

Learn how to maximize your use of, and benefit from AI, personally and professionally while staying safe.

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