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

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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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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Intelligent Data Engineering and Automated Learning - IDEAL 2025

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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

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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Rony
Unlock Your Potential: Using Data to Fuel Your Athletic Journey

Unlock Your Potential" dives into the dynamic world of data-driven athletics. It shows you how to leverage the power of data collection and analysis to optimize your training and performance. This bo…

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Intelligent Data Engineering and Automated Learning - IDEAL 2025

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

lieferbar innerhalb 2-3 Wochen

Buch

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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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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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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Perry
Unpacking Food Choices: Using Data Analysis to Understand Nutritional Trends

Data analysis is the process of collecting, cleaning, and interpreting data to uncover patterns and trends. In the realm of nutrition, this data can come from various sources, including: ¿National surveys…

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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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Cloud Computing, Big Data and Emerging Topics

This book constitutes the revised selected papers of the 13th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2025, held in La Plata, Argentina, during June 24-2…

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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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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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Inclusive Innovation in the Age of AI and Big Data

As artificial intelligence and big data analytics reshape economies and societies, the promise of innovation is increasingly shadowed by concerns over inclusion, equity, and global justice. This accessibl…

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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 …

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Gmac (Graduate Management Admission Council)
GMAT Official Guide Data Insights Review 2025-2026

Use this guide to:¿ Master the data insights section of the exam ¿ Familiarize yourself with data analysis concepts through the review chapter ¿ Grow your confidence with the data insights questions ¿ Rev…

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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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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 …

lieferbar in mind. 4 Wochen

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