How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data

Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled "Time to Enter the Crypto Zone?," and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are "prime crypto-curious" investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create "Centers on Cryptocurrency." Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including: Blockchain NFTs Data analytics and AI Crypto crime Crypto industry and regulation Crypto and public choice Consumer confidence Bitcoin and other cryptocurrencies. Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets.

This book examines the implementation of emerging technology projects in the service-based Indian IT sector. The title shows how emerging technologies impact IT-enabled Services (ITeS) organizations and examines the mobility prospects for engineers and students looking to enter IT. Indian IT, dominated by organizations offering ITeS, provides services to clients across the world. Fueling this sector's growth are engineering graduates. Emerging technologies such as AI, Big Data, Cloud, and Blockchain, have brought the IT and engineering education sectors to a crossroads, with global implications. The IT sector is facing growing demands for new technology solutions from its clients and it is engineering students who are expected to upskill in order to build these solutions. The volume provides a rare, bottom-up look at the intersection of technology, education and organizational structure, based on an ethnographic study. This book will be a helpful and unique resource for managers in IT enabled Services grappling with emerging technologies, researchers looking at how emerging technologies impact organizations and for those developing innovative IT courses in higher education. Readers interested in the global structure of IT education and industry will also find a fresh, ethnographically-informed take on these issues.

Provides strong and accessible theoretical bases to swarm intelligence algorithms, from particle optimization to bioinspired and meta-heuristic algorithms Presents emerging meta-heuristic algorithms and applications Provides overviews on Python and R based computing libraries for swarm intelligence and meta-heuristic algorithms Presenting real-world applications, especially on Industry, Medicine and Biology.

* Provides evidence, examples, and explanation of the developing tactics-illustrated recently in politics in particular-of embedding internal saboteurs bent on dismantling their own institutions from within * Presents numerous case studies to examine instances of insider compromises, including the circumstances and warning signs that led to events * Outlines solutions on how to train organizations and individuals on recognizing, reporting, mitigating, and deterring insider threats

Discusses digital fashion design and e-prototyping, including 2D/3D CAD, fashion simulation, fit analysis, digital pattern cutting, marker making, and the zero-waste concept Covers digital human modelling and VR/AR technology Details digital fashion business and promotion, including application of e-tools for supply chain, e-commerce, block chain technologies, big data, and AI

In this newly revised book On Sonic Art, Trevor Wishart takes a wide-ranging look at the new developments in music-making and musical aesthetics made possible by the advent of the computer and digital information processing. His emphasis is on musical rather than technical matters. Beginning with a critical analysis of the assumptions underlying the Western musical tradition and the traditional acoustic theories of Pythagoras and Helmholtz, he goes on to look in detail at such topics as the musical organization of complex sound-objects, using and manipulating representational sounds and the various dimensions of human and non-human utterance. In so doing, he seeks to learn lessons from areas (poetry and sound-poetry, film, sound effects and animal communication) not traditionally associated with the field of music.
About the Author
Trevor Wishart is a composer, living and working in the North of England. His musical works cover a wide range, from environmental music events staged in spe

-A comprehensive text for students and professionals on an essential and emerging area of knowledge and skills for today's technical communication professions -Covers a growing area of focus for the field of technical communication, with relevance to digital marketing, social media publishing, and other professional fields -The first core textbook in this area designed to cover a full range of content strategy skills and practices

Memes work as rhetorical weapons and discursive arguments in political conflicts. Across digital platforms, they confirm, contest and challenge political power and hierarchies. They simultaneously create social distortion, hostility, and a sense of community. Memes thus not only reflect norms but also work as a tool for negotiating them. At the same time, memes meld symbolic and cultural elements with technological functionalities, allowing for replicability and remixing. This book studies how memes disrupt and reimagine politics in humorous ways. Memes create a playful activity that follows a shared set of rules and gives a (shared) voice, which may generate togetherness and political identities but also increase polarization. As their template travels, memes continue to appropriate new political contexts and to (re)negotiate frontiers in the political. The chapters in this book allow us to chart the playful politics of memes and how they establish or push frontiers in various political, cultural, and platform-specific contexts. Taken together, memes can challenge and regenerate populism, carve out spaces for new identity formations, and create togetherness in situations of crises. They can also, however, lead to the normalization of racist discourses. This book will be of interest to researchers and advanced students of Media and Communication Studies, Information Studies, Politics, Sociology, and Cultural Studies. It was originally published as a special issue of the journal, Information, Communication & Society.

This book offers a straight-forward guide to the fundamental work of governing bodies and the people who serve on them. The aim is of the book is to help every member serving on a governing body understand and improve their contribution to the entity and governing body they serve. The book is rooted in research, including five years' work by the author as a Research Fellow of Nuffield College, Oxford.

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Digital transformation is a multidimensional concept and involves many moving parts. Successful digital transformation requires a fresh approach to harnessing people, processes, technology, and data to develop new business models and digital ecosystems. One main barrier could be an overemphasis on applying technology to expand the business rather than transforming the people's mindsets to do things differently. Thus, it is important to develop a holistic view of these parts and assemble them to foster the right conditions for digital transformation to happen. Business leaders and executives must be equipped with a wide range of digital competencies to thrive in a rapidly changing digital environment. Digital Transformation: Strategy, Execution, and Technology provides an overall view on the strategy, execution, and technology for organizations aiming to transform digitally. It offers insights on how to become more successful in the digital age by explaining the importance and relevance of the various building blocks which form the foundation of a digital organization. It shows the reader how to develop these building blocks in the organization as part of the digital transformation journey from both a business and technical perspective. Highlights of the book include: Digital transformation strategy Digital governance and risk management Digital organization and change management Experimental learning and design thinking Digital product management Agile and DevSecOps Digital enterprise architecture Business applications of digital technology This practical guide is written keeping business and information technology professionals and digital transformation practitioners in mind. It is also suitable for students pursuing postgraduate degrees and participants attending executive education programs in business and information technology.

Make the most of your Mac with this witty, authoritative guide to macOS Big Sur. Apple updates its Mac operating system every year, adding new features with every revision. But after twenty years of this updating cycle without a printed user guide to help customers, feature bloat and complexity have begun to weigh down the works. For thirty years, the Mac faithful have turned to David Pogue's Mac books to guide them. With Mac Unlocked, New York Times bestselling author Pogue introduces readers to the most radical Mac software redesign in Apple history, macOS Big Sur. Beginning Mac users and Windows refugees will gain an understanding of the Mac philosophy; Mac veterans will find a concise guide to what's new in Big Sur, including its stunning visual and sonic redesign, the new Control Center for quick settings changes, and the built-in security auditing features. With a 300 annotated illustrations, sparkling humor, and crystal-clear prose, Mac Unlocked is the new gold-standard guide to the Mac.

Since the invention of computers or machines, scientists and researchers are trying very hard to enhance their capabilities to perform various tasks. As a consequence, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make the computers or machines as intelligent as human beings. Artificial Intelligence (AI) came up as a way of making a computer or computer software think in the similar manner the intelligent humans think. AI is inspired by the study of human brain like how humans think, learn, decide and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or Intelligent Computing (IC). An IC system has the capability of reasoning, learning, problem solving, perception, and linguistic intelligence. The IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of intelligent computing has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Now a days, the use of IC can also be seen for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agriculture science, predicting market growth in economics, weather forecasting and so on. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes the recent research works have been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems and so on. This book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background.

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions' perspectives, this book aims to advance the deployment and use of big data analytics to increase patients' big data usefulness and improve healthcare service delivery. The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients' big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients' big data for health services. By doing so, the book brings a different dimension and advance health service delivery. Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.

Gain a thorough understanding of how modern audits are conducted in today's computer-driven business environment with INFORMATION TECHNOLOGY AUDITING, 4E. You gain valuable insights into state-of-the-art auditing issues as this leading accounting text provides you with the background you need to succeed in today's business world. This edition focuses on the latest information technology aspects of auditing with up-to-date coverage of auditor responsibilities, emerging legislation, and today's fraud techniques and detection. Expanded end-of-chapter questions, problems, and cases give you important hands-on practice for success in your future career.

Digital Humanities is rapidly evolving as a significant approach to/method of teaching, learning and research across the humanities. This is a first-stop book for people interested in getting to grips with digital humanities whether as a student or a professor. The book offers a practical guide to the area as well as offering reflection on the main objectives and processes, including: Accessible introductions of the basics of Digital Humanities through to more complex ideas A wide range of topics from feminist Digital Humanities, digital journal publishing, gaming, text encoding, project management and pedagogy Contextualised case studies Resources for starting Digital Humanities such as links, training materials and exercises Doing Digital Humanities looks at the practicalities of how digital research and creation can enhance both learning and research and offers an approachable way into this complex, yet essential topic.

Security, privacy, and trust in the Internet of Things (IoT) and CPS (Cyber-Physical Systems) are different from conventional security as concerns revolve around the collection and aggregation of data or transmission of data over the network. Analysis of cyber-attack vectors and the provision of appropriate mitigation techniques are essential research areas for these systems. Adoption of best practices and maintaining a balance between ease of use and security are, again, crucial for the effective performance of these systems. Recent Advances in Security, Privacy and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS) discusses and presents techniques and methodologies, as well as a wide range of examples and illustrations, to effectively show the principles, algorithms, challenges, and applications of security, privacy, and trust for IoT and CPS. Book features: Introduces new directions for research, development, and engineering security, privacy, and trust of IoT and CPS Includes a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges, and applications Covers most of the important security aspects and current trends not present in other reference books This book will also serve as an excellent reference in security, privacy, and trust of IoT and CPS for professionals in this fast-evolving and critical field. The chapters present high-quality contributions from researchers, academics, and practitioners from various national and international organizations and universities.

The aim of this book is to provide detailed coverage of the topics in the new OCR AS and A Level Computer Science specifications H046 / H446. The book is divided into twelve sections and within each section, each chapter covers material that can comfortably be taught in one or two lessons. Material that is applicable only to the second year of the full A Level is clearly marked. Sometimes this may include an entire chapter and at other times, just a small part of a chapter. Each chapter contains exercises and questions, some new and some from past examination questions. Answers to all these are available to teachers only in a free Teacher's Pack which can be ordered from our website www.pgonline.co.uk. This book has been written to cover the topics which will be examined in the written papers at both AS and A Level. Sections 10, 11 and 12 relate principally to problem solving skills, with programming techniques covered in sufficient depth to allow students to answer questions in Component 02. Pseudocode, rather than any specific programming language, is used in the algorithms given in the text. Sample Python programs which implement many of the algorithms are included in a folder with the Teacher's Pack.

Offers access to projects of some of the top professionals working in Real-Time Content Production today like engineering teams from "The Mandalorian" & League of Legends as well as video content designers for The Foo Fighters and Back to the Future, The Musical Includes reviews of real-time content production workflow for virtual production Features discussion from the software developers about the origins of their platforms

This proceedings volume brings together peer-reviewed papers presented at the International Conference on Information Technology and Computer Application Engineering, held 10-11 December 2014, in Hong Kong, China. Specific topics under consideration include Computational Intelligence, Computer Science and its Applications, Intelligent Information Processing and Knowledge Engineering, Intelligent Networks and Instruments, Multimedia Signal Processing and Analysis, Intelligent Computer-Aided Design Systems and other related topics. This book provides readers a state-of-the-art survey of recent innovations and research worldwide in Information Technology and Computer Application Engineering, in so-doing furthering the development and growth of these research fields, strengthening international academic cooperation and communication, and promoting the fruitful exchange of research ideas. This volume will be of interest to professionals and academics alike, serving as a broad overview of the latest advances in the dynamic field of Information Technology and Computer Application Engineering.

Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models. Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language. Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics, as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations.

Microlearning in the Digital Age explores the design and implementation of bite-sized learning and training in technology-enabled environments. Grounded in research-based best practices and a robust, eight-dimensional framework, this book applies the latest developments in mobile learning, social media, and instructional/multimedia design to one of today's most innovative and accessible content delivery systems. Featuring experts from higher education, information technology, digital gaming, corporate, and other contexts, this comprehensive guide will prepare graduate students, researchers, and professionals of instructional design, e-learning, and distance education to develop engaging, cost-effective microlearning systems.