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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra; Provides a thorough introduction to data visualization and regular expressions; Covers NumPy, Pandas, R, and SQL; Introduces probability and statistical concepts; Features numerous code samples throughout; Companion files with source code and figures.

Information retrieval.

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Modularity has been and continues to be one of the central research topics in ontology engineering, still catching up with 40 years of related research in software engineering. The workshops on Modular Ontologies (WoMO) bring together researchers from different disciplines who study the problem of modularity in ontologies at a fundamental level, develop design tools for distributed ontology engineering, and apply modularity to different use cases and application scenarios. The contributions in this volume are of interest to researchers, students and practitioners interested in foundations of o

Ontologies (Information retrieval)

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Open data is freely usable, reusable, or redistributable by anybody, provided there are safeguards in place that protect the data's integrity and transparency. This book describes how data retrieved from public open data repositories can improve the learning qualities of digital networking, particularly performance and reliability. Chapters address such topics as knowledge extraction, Open Government Data (OGD), public dashboards, intrusion detection, and artificial intelligence in healthcare.

Information science. --- Information retrieval.

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This collection of books brings some of the latest developments in the field of watermarking. Researchers from varied background and expertise propose a remarkable collection of chapters to render this work an important piece of scientific research. The chapters deal with a gamut of fields where watermarking can be used to encode copyright information. The work also presents a wide array of algorithms ranging from intelligent bit replacement to more traditional methods like ICA. The current work is split into two books. Book one is more traditional in its approach dealing mostly with image watermarking applications. Book two deals with audio watermarking and describes an array of chapters on performance analysis of algorithms.

Information retrieval --- Study and teaching.

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Cross references (Information retrieval) --- Authority files (Information retrieval). --- Cross references (Information retrieval). --- Authority files (Information retrieval) --- Cataloging. --- Descriptive cataloging --- Rules. --- Catalog cross references --- Cross references (Cataloging) --- References (Information retrieval) --- Syndetic structure (Information retrieval) --- Information retrieval --- Authority control (Information retrieval) --- Authority files (Cataloging) --- Authority records (Information retrieval) --- Authority work (Information retrieval) --- Library authority files --- Files (Records) --- FRAD (Conceptual model)