Data-driven Modelling – alle Bücher, Seite 2

Data-Driven Innovation for Intelligent Technology

This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related…

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Data-Driven Energy Management and Tariff Optimization in Power Systems

Presents a comprehensive guide to transforming power systems through dataData-Driven Energy Management and Tariff Optimization in Power Systems offers an authoritative examination of how data science is r…

lieferbar ab 4.11.2025.

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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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Data-Driven Decision Making for Product Service Systems

This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the co…

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Andrew J. Kurdila, John A. Burns, Andrea L'Afflitto
Data-Driven, Nonparametric, Adaptive Control Theory

Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed e…

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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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Stefan Bracke
Reliability Engineering

This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are a…

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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Ugur Küpper
Data-driven Model for Process Evaluation in Wire EDM

Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using r…

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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Gabriel Steinhardt
Data-driven Decision-making for Product Managers

This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions. It is a detailed resource for developing and maintaining data literacy, a core s…

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Andrey Ganopolski
Quaternary Climate Dynamics

The Quaternary period, which began 2.58 million years ago and continues to the present day, is distinctive for its significant climate variability. Understanding the mechanisms of climate change during th…

lieferbar ab 28.2.2026.

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Model Order Reduction, Volume 1, System- and Data-Driven Methods and Algorithms

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. Th…

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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¿Ukasz Pawlik
R Applications in Earth Sciences

This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticate…

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Mike Excelisfun Girvin
The New Frontier of Excel Analysis and Reporting with Excel Array Formulas and Let & Lambda Functions

Array Formulas have been around since the beginning of Excel. The author wrote a whole book about them back in 2012. Array Formulas were powerful, but complicated. Then Microsoft invented the new Workshee…

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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Axel Bohmann, Julia Müller, Mirka Honkanen, Miriam Neuhausen
Linguistic Data Science and the English Passive

Employs a combination of machine-learning tools to study the choice of English passive auxiliary, BE vs GET, in several large corpora, both diachronically and across varieties.

lieferbar ab 11.12.2025.

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

lieferbar ab 10.11.2025.

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