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2022 7th International Conference on Information Systems Engineering
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Year: 2022 Publisher: New York, New York : Association for Computing Machinery,

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ICSIE '22 : Proceedings of the 11th International Conference on Software and Information Engineering
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Year: 2022 Publisher: New York, New York : Association for Computing Machinery,

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Proceedings of the 23rd International Database Applications & Engineering Symposium
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Year: 2019 Publisher: New York, NY : Association for Computing Machinery,

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Harvard Data Science Review
ISSN: 26442353 Publisher: United States The MIT Press

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Controlling & Management Review Sonderheft 1-2016 : Big Data - Zeitenwende für Controller
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ISBN: 3658134445 Year: 2016 Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler,

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Die Beiträge dieses Sonderheftes befassen sich mit dem Trendthema „Big Data“ aus verschiedenen für Controller relevanten Blickwinkeln. Namhafte Wissenschaftler, Praktiker und Berater zeigen auf, wie Controller die neuen Möglichkeiten von Big Data für ihre eigene Arbeit nutzen und wie sie beurteilen können, ob sich Investitionen in diesen Bereich für ihr Unternehmen lohnen. Zudem wird beleuchtet, welche Auswirkungen Big Data auf die Aufgaben von Controller hat und welche Kompetenzen Controller aufbauen müssen, um große Datenmengen und unterschiedliche Informationsquellen für neue Anwendungsfelder zu nutzen.


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Data Science for IoT Engineers : A Systems Analytics Approach.
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ISBN: 1683926404 1683926412 Year: 2021 Publisher: Bloomfield : Mercury Learning & Information,

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This book introduces the concepts of data science to professionals in engineering, physics, mathematics, and allied fields. It is a workbook with MATLAB code that creates a common framework and points out various interconnections related to industry. This will allow the reader to connect previous subject knowledge to data science, machine learning, or analytics and apply it to IoT applications. Part One brings together subjects in machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two (Systems Analytics) develops a “universal” nonlinear, time-varying dynamical machine learning solution that can faithfully model all the essential complexities of real-life business problems and shows how to apply it. FEATURES:Develops a “universal,” nonlinear, dynamical machine learning solution to model and apply the complexities of modern applications in IoTCovers topics such as machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.


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Proceedings of the 2023 7th International Conference on Information System and Data Mining
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Year: 2023 Publisher: New York, NY, USA : Association for Computing Machinery,

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Proceedings of the 24th International Conference on Computer Systems and Technologies

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Natural Language Processing Fundamentals for Developers.
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ISBN: 1683926552 1683926560 9781683926559 9781683926566 9781683926573 1683926579 Year: 2021 Publisher: Bloomfield : Mercury Learning & Information,

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This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chapter shows you various details of managing data that are relevant for NLP. The next pair of chapters contain NLP concepts, followed by another pair of chapters with Python code samples to illustrate those NLP concepts. Chapter 6 explores applications, e.g., sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and a short discussion regarding chatbots. The final chapter presents the Transformer architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years and considered SOTA (“state of the art”). The appendices contain introductory material (including Python code samples) on regular expressions and probability/statistical concepts. Companion files with source code and figures are included.FEATURES:Covers extensive topics related to natural language processing Includes separate appendices on regular expressions and probability/statisticsFeatures companion files with source code and figures from the book.The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.


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An introduction to business analytics
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ISBN: 9789082017939 Year: 2019 Publisher: Amsterdam : MG books,

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Introduction -- Going on a tour with R -- Variability -- Machine learning -- Simulation -- Linear optimization -- Combinatorial optimization -- Simulation optimization --Dynamic programming and reinforcement learning -- Answers to exercises

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