Data-Mining – Bücher, CDs, LPs und mehr, Seite 4

Big Data and Internet of Things

"Big Data and Internet of Things" is the latest volume in the renowned Lecture Notes in Networks and Systems series. This book compiles the latest research presented at the Seventh International…

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2 Bücher

Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

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Perspectives on Logics for Data-driven Reasoning

This book calls for a rethinking of logic as the core methodological tool for scientific reasoning in the context of a steadily increasing emphasis on data-centered science. To do so it provides a state-o…

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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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Data-Driven Fluid Mechanics

Big data and machine learning are driving profound technological progress across nearly every industry, and are rapidly shaping fluid mechanics research. This is a self-contained and pedagogical treatment…

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Data-Centric Business and Applications

The combination of the latest developments in economic theory with contemporary information technologies may be considered as a powerful instrument for the processing of commercial data. This book employs…

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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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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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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…

lieferbar innerhalb 2-3 Wochen

Buch

Smart Materials Engineering

This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the…

lieferbar ab 6.1.2026.

Buch

Ralf Strauss
Data-Driven Customer Engagement

Embark on a journey through the rapidly evolving landscape of Marketing Technology (MarTech) with this comprehensive guide. From understanding the strategic imperatives driving MarTech adoption to navigat…

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Data Sharing für KMU

Ein bewusster Umgang mit Daten ist für Unternehmen wichtiger denn je: Sie fördern Innovation in Geschäftsmodellen, erfordern aber auch einen effizienten und nachhaltigen Datenumgang. Unternehmen, die Date…

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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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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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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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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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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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