Data-DrivenModelingofHumanLearning – Bücher, CDs, LPs und mehr, Seite 10

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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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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 …

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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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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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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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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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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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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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The Value of Consumer Data in the Digital Economy

Verbraucherdaten sind längst Währung der digitalen Ökonomie - doch wie bestimmt sich ihr Wert, wer darf sie handeln und wann werden "kostenlose" Angebote zu einem Preis? Der Band liefert den Run…

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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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Bibliometric Analyses in Data-Driven Decision-Making

Bibliometric Analyses in Data-Driven Decision-Making is a comprehensive guide that will provide insights into the growth, impact, and trends within bibliometric tools and methodologies. The handbook will …

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Innovative Perspectives on Computational Intelligence and Data Science

This book constitutes the proceedings of the 1st International Conference on Innovative Perspectives on Computational Intelligence and Data Science, InnoComp 2025, held in Cluj-Napoca, Romania, in October…

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

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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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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Advances on Intelligent Computing and Data Science II

This book presents the proceedings of the 4th International Conference on Advanced Computing and Informatics (ICACIn'24). The conference, held on December 16--17, 2024, at STEAMhouse, Birmingham City Univ…

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Julhash U. Kazi
Python Essentials for Biomedical Data Analysis: An Introductory Textbook

This introductory book is a beginner-friendly resource that empowers you to harness Python programming for exploring and understanding biomedical data. In today's data-driven world, the ability to analyze…

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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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