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Karen Morrison, Lisa Greenstein
Oxford International Skills: Data Literacy: Practice Book 7

This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are …

lieferbar in mind. 4 Wochen

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City in the Cloud - Data on the Ground

This book investigates the hidden physical infrastructures behind the digital world. Data may appear immaterial, but it relies on extensive global networks: the extraction of raw materials, the deployment…

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

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Lukas Silvester Barth, Hannaneh Fahimi, Parvaneh Joharinad, Jürgen Jost
Data Visualization with Category Theory and Geometry

This open access book provides a robust exposition of the mathematical foundations of data representation, focusing on two essential pillars of dimensionality reduction methods, namely geometry in general…

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Engineering and Management of Data Science, Analytics, and AI/ML Projects

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers---academi…

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Xuemin Shen (Sherman), Dongxiao Liu
Blockchain-Based Data Security in Heterogeneous Communications Networks

This book investigates data security approaches in Heterogeneous Communications Networks (HCN). First, the book discusses the urgent need for a decentralized data management architecture in HCN. The book …

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Raphael Röttinger
Data Analysis and Risk Modelling for Terrorism Prevention:

In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, …

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Age K Smilde, Federico Marini, Johan A Westerhuis, Kristian Hovde Liland
Analysis of Variance for High-Dimensional Data

Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applicationsAnalysis of Variance for High-Dimensional Data summarizes all the methods to analyze …

lieferbar in mind. 4 Wochen

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Chris Kiehl
Data-Oriented Programming in Java

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Data is …

lieferbar ab 30.6.2026.

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Universality of semantic frames and language specific Bulgarian data

The book Universality of semantic frames and language specific Bulgarian data is devoted to the principles of data organisation in the Bulgarian FrameNet, which has been in development for more than 20 ye…

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István Fekete
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains

This book sheds new light on metrics like Minimal Clinically Important Difference (MCID) or Minimal Important Difference (MID) by discussing their application beyond traditional medical fields into non-cl…

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Data-Intensive Investigations of English

In this collection of innovative and original articles, an international team of scholars demonstrate the newest technological trends and data-intensive technologies in the empirical study of English ling…

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Steven E. Rigdon, Jr Ronald D. Fricker, Douglas C. Montgomery
Introduction to Probability and Statistics for Data Science

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, e…

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IoT and Big Data Technologies for Health Care

This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17--18, 20…

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Chirag Shah
A Hands-On Introduction to Data Science with Python

Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science t…

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024.The …

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Halefom H Abraha,
Regulating Cross-Border Data Access for Law Enforcement

This book explores the legal, political, and practical challenges that governments face when investigating local crimes involving digital evidence held by global cloud service providers.Criminal investiga…

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

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Chirag Shah
A Hands-On Introduction to Data Science with R

Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in…

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