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

Optimization and Data Science in Industrial Engineering

This volume constitutes the refereed proceedings of the Second International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2024, held in Istanbul, Turkey, during November 7-…

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Kristen Holmes
Aligned

Ebury Edge

We often equate peak performance with relentless effort-early mornings, intense workouts, and unwavering discipline. But what if the true catalyst for excellence lies not in exertion, but in restoration?P…

Erscheint bald

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Data Protection, Privacy and Artificial Intelligence, Volume 17

Examines the discourse and developments surrounding privacy and data protection in the digital realm, featuring papers and discussions from the 2024 CPDP.ai international conference.

lieferbar in mind. 4 Wochen

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Karen Morrison, Lisa Greenstein
Oxford International Skills: Data Literacy: Practice Book 9

This comprehensive, nine-year course (for ages 4 to 14) follows a spiral approach where students build confidence in working with data year-on-year. Through real-world contexts and examples, students are …

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

lieferbar in mind. 4 Wochen

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Shishir Kumar Shandilya, Agni Datta, Yash Kartik, Atulya Nagar
Digital Resilience: Navigating Disruption and Safeguarding Data Privacy

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data …

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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…

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Artificial Intelligence and Data Sciences for Precision Agriculture

Global human population is increasing rapidly, and it has been estimated to reached 9.7 billion by year 2050. With this massive population growth, the greatest challenge is sustainable food production. Th…

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

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Ashis Sengupta, Kunio Shimizu
Probability Distributions for Directional Data on Smooth Manifolds

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

lieferbar ab 21.7.2026.

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Engineering and Management of Data Science, Analytics, and AI/ML Projects

This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers---academi…

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City in the Cloud - Data on the Ground

This book investigates the hidden physical infrastructures behind the digital world. Data may appear immaterial, but it relies on extensive global networks: the extraction of raw materials, the deployment…

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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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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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Gianvito Lanzolla, Constantinos Markides
Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

lieferbar innerhalb 2-3 Wochen

Buch

Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
AI-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

lieferbar ab 31.5.2026.

Buch

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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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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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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