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Beyond the Algorithm
Beyond the Algorithm: Debunking the Myth of AI" is a thought-provoking book that challenges the common misconceptions surrounding artificial intelligence (AI). In this engaging exploration, the author delves into the intricacies of AI technology, dissecting its capabilities, limitations, and the myths that have emerged around it. The book takes a comprehensive approach to debunking the prevailing mythologies surrounding AI by going beyond surface-level perceptions. It delves into the inner workings of AI algorithms, providing readers with a deeper understanding of how AI systems operate and make decisions. By demystifying the algorithms, the author reveals that AI is not an all-knowing, sentient entity, but rather a sophisticated tool programmed by humans.
Navigating the Emotional Impact of Technology
In the age of digital advancement, technology has become an integral part of our lives, significantly influencing our emotions and psychological well-being. "Navigating the Emotional Impact of Technology" delves into the intricate relationship between humans and technology, exploring how our increasing reliance on digital devices and platforms affects our emotional experiences. The book takes readers on a thought-provoking journey, examining the multifaceted ways in which technology shapes our emotions. Drawing on personal anecdotes, expert insights, and extensive research, it unravels the complexities of this digital landscape and offers strategies to navigate its emotional impact effectively.
Language Nexus Unleashing Linguistic Linked Open Data
In an era of ever-growing data and technological advancements, the field of language sciences is undergoing a transformative shift. Researchers and linguists are now able to tap into vast amounts of linguistic data, enabling collaborative and data-intensive research like never before. The development and utilization of Linguistic Linked Open Data (LLOD) resources have become key in unlocking the potential for groundbreaking discoveries and insights in language-related studies. This book serves as a comprehensive guide to the development and utilization of LLOD resources for collaborative data-intensive research in the language sciences.
Phishing and Communication Channels
Mitigate the dangers posed by phishing activities, a common cybercrime carried out through email attacks. This book details tools and techniques to protect against phishing in various communication channels. The aim of phishing is to fraudulently obtain sensitive credentials such as passwords, usernames, or social security numbers by impersonating a trustworthy entity in a digital communication. Phishing attacks have increased exponentially in recent years, and target all categories of web users, leading to huge financial losses to consumers and businesses. According to Verizon’s 2020 Data Breach Investigations Report (DBIR), 22% of all breaches in 2019 involved phishing. And 65% of organi...
Computational Vision and Bio-Inspired Computing
This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Natural Language Processing
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to under
Dictionary of American Family Names
Where did your surname come from? Do you know how many people in the United States share it? What does it tell you about your lineage? From the editor of the highly acclaimed Dictionary of Surnames comes the most extensive compilation of surnames in America. The result of 10 years of research and 30 consulting editors, this massive undertaking documents 70,000 surnames of Americans across the country. A reference source like no other, it surveys each surname giving its meaning, nationality, alternate spellings, common forenames associated with it, and the frequency of each surname and forename. The Dictionary of American Family Names is a fascinating journey throughout the multicultural United States, offering a detailed look at the meaning and frequency of surnames throughout the country. For students studying family genealogy, others interested in finding out more about their own lineage, or lexicographers, the Dictionary is an ideal place to begin research.
Business and Consumer Analytics: New Ideas
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the lates...
Applying Predictive Analytics Within the Service Sector
Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry.
