Data-driven – Bücher, CDs, LPs und mehr, Seite 5

Data Driven Approaches on Medical Imaging

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. an…

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From Data to Models and Back

This book constitutes the refereed proceedings of the 11th International Symposium on From Data to Models and Back, DataMod 2023, held in Eindhoven, The Netherlands during November 6-7, 2023.The 8 full pa…

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Supervised and Unsupervised Statistical Data Analysis

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

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Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende
Data Pipelines with Apache Airflow, Second Edition

Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow.Apache Airflow provides a batteries-included platform for designing, implementing, and monitoring data pipe…

lieferbar ab 30.12.2025.

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Mike Nguyen
Advanced Modeling and Data Challenges

This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis testing.…

lieferbar ab 10.12.2025.

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Aleksei Beltukov
Differential Equations and Data Analysis

This book is focused on modeling with linear differential equations with constant coefficients. The author starts with the elementary natural growth equation and ends with the heat equation on the real li…

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Sébastien Roch
Mathematical Methods in Data Science

Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, cal…

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Sébastien Roch
Mathematical Methods in Data Science

A hands-on textbook for advanced undergraduates and beginning graduate students in data science, offering an accessible introduction to the essential mathematics behind modern data analysis. With practica…

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Frank Pasquale
Data Access and AI Explainability

As managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. A wide range of harms may occur when access to one's personal data…

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Frank Pasquale
Data Access and AI Explainability

As managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. A wide range of harms may occur when access to one's personal data…

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James L Doti
Using Data Analytics to Drive Transformational Change

Using Data Analytics to Drive Transformational Change: The Chapman University Model opens with the statement, "Most strategic plans are a waste of time - a drain on precious resources." An alter…

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Tamer Khraisha
Financial Data Engineering

Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial in…

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Proceedings of Data Analytics and Management

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during Ju…

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Big Data - BigData 2024

This book constitutes the refereed proceedings of the 13th International Conference on Big Data, BigData 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during No…

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Cornelia Sollfrank, Felix Stalder
Contemporaneity in Embodied Data Practices

On the relationship between quantifiable and experiential knowledge as entanglement of multiple temporalities.What parallels are there between a human pranayama practitioner and a migratory bird in heavil…

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Lin Zhu, Luyi Bai
Fuzzy Spatiotemporal XML Data Management

Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) reco…

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Computing, Internet of Things and Data Analytics

Exploratory Data Analysis.- · Pattern Recognition and Image Analysis.- Medical Image Processing.- Artificial Intelligence and Applications.- Machine Learning & Deep Learning.- Natural Language Process…

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Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems, Second Edition provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed …

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Grey Ballard, Tamara G Kolda
Tensor Decompositions for Data Science

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiq…

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Quantitative Methods and Data Analysis in Applied Demography - Volume 2

This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography. Models and modeling cover a wide range of data analysis methods and techniques to cope with dem…

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