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Analytics and Data Science
This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by lead...
Communication and Information Technologies Annual
This volume examines wide-ranging aspects of culture, communication, and [new] media broadly defined. Themes include the interplay between [new] media and any of the following: culture, communication, technology, convergence, the arts, cultural production, and cultural change in the digital age.
Reconstructing Urban Economics
Neoclassical economics, the intellectual bedrock of modern capitalism, faces growing criticisms, as many of its key assumptions and policy prescriptions are systematically challenged. Yet, there remains one field of economics where these limitations continue virtually unchallenged: the study of cities and regions in built-environment economics. In this book, Franklin Obeng-Odoom draws on institutional, Georgist and Marxist economics to clearly but comprehensively show what the key issues are today in thinking about urban economics. In doing so, he demonstrates the widespread tensions and contradictions in the status quo, showing how to reconstruct urban economics in order to create a more just society and environment.
Developing Networks using Artificial Intelligence
This book mainly discusses the most important issues in artificial intelligence-aided future networks, such as applying different ML approaches to investigate solutions to intelligently monitor, control and optimize networking. The authors focus on four scenarios of successfully applying machine learning in network space. It also discusses the main challenge of network traffic intelligent awareness and introduces several machine learning-based traffic awareness algorithms, such as traffic classification, anomaly traffic identification and traffic prediction. The authors introduce some ML approaches like reinforcement learning to deal with network control problem in this book. Traditional wor...
Learning, Design, and Technology
The multiple, related fields encompassed by this Major Reference Work represent a convergence of issues and topics germane to the rapidly changing segments of knowledge and practice in educational communications and technology at all levels and around the globe. There is no other comparable work that is designed not only to gather vital, current, and evolving information and understandings in these knowledge segments but also to be updated on a continuing basis in order to keep pace with the rapid changes taking place in the relevant fields. The Handbook is composed of substantive (5,000 to 15,000 words), peer-reviewed entries that examine and explicate seminal facets of learning theory, research, and practice. It provides a broad range of relevant topics, including significant developments as well as innovative uses of technology that promote learning, performance, and instruction. This work is aimed at researchers, designers, developers, instructors, and other professional practitioners.
Winning with Data Science
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrat...
AECT at 100
The purpose of AECT at 100: A Legacy of Leadership is to highlight the Association for Educational Communications and Technology’s 100 years of leadership in educational technology and learning. AECT has a rich history, evolving from the National Education Association’s (NEA) Department of Visual Instruction (DVI) and later the Department of Audio-Visual Instruction (DAVI). Over its 100 years, AECT and its members have had a substantial impact on the evolution of American educational technology and learning, including in the areas of audiovisual instruction, instructional design, and online learning. AECT at 100: A Legacy of Leadership brings together writers and experts in the organizat...
Real Estate Analysis in the Information Age
The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling focuses on the real estate discipline, guiding researchers and practitioners alike on the use of data-centric methods and analysis from applied and theoretical perspectives. In it, the authors detail the integration of ...
Conversations in Food Studies
Few things are as important as the food we eat. Conversations in Food Studies demonstrates the value of interdisciplinary research through the cross-pollination of disciplinary, epistemological, and methodological perspectives. Widely diverse essays, ranging from the meaning of milk, to the bring-your-own-wine movement, to urban household waste, are the product of collaborating teams of interdisciplinary authors. Readers are invited to engage and reflect on the theories and practices underlying some of the most important issues facing the emerging field of food studies today. Conversations in Food Studies brings to the table thirteen original contributions organized around the themes of representation, governance, disciplinary boundaries, and, finally, learning through food. This collection offers an important and groundbreaking approach to food studies as it examines and reworks the boundaries that have traditionally structured the academy and that underlie much of food studies literature.
Analytics and Knowledge Management
The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analyti...
