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Carl Öhman
The Afterlife of Data

"In recent years, more and more of our lives takes place online. But what about our afterlives? Thanks to the digital trails of data we leave behind, much of "who we are" can be reconstructed-even after o…

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Sven A. Wegner
Mathematical Introduction to Data Science

This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introdu…

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Sachiko Scheuing
How to Use Customer Data

Data-driven marketing is a huge aspect of any modern-day marketing plan, but balancing customers' privacy concerns with the latest innovations can be a complex challenge. When done right, data-driven mark…

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Data Sharing - Datenkapitalismus by Default?

Dieses Werk enthält ausgewählte Beiträge der Jahrestagung der "Plattform Privatheit" 2023. Sie beleuchten die Bedeutung und Auswirkungen des Datenteilens in unserer heutigen Gesellschaft. Es bietet einen …

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Palle E. T. Jorgensen, Zhihua Zhang
Frame Theory in Data Science

This book establishes brand-new frame theory and technical implementation in data science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven…

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Data Analytics for Supply Chain Networks

The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of …

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New Frontiers in Textual Data Analysis

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then …

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Syed Humair, Chenjerai Gumbo, Adam Gatt, Asif Abbasi
AWS Certified Data Engineer Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C0…

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Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Data Driven Analysis and Modeling of Turbulent Flows

Data-driven Analysis and Modeling of Turbulent Flows provides an integrated treatment of modern data-driven methods to describe, control, and predict turbulent flows through the lens of both physics and d…

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

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Big Data Analytics in Agriculture

Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural produc…

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Andres Fortino
Data Analysis for Business Decisions

No detailed description available for "Data Analysis for Bus Dec 3E P".

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Behzad Razavi
Analysis and Design of Data Converters

Master data converter design with this definitive textbook. Razavi's intuitive pedagogical approach introduces step-by-step transistor-level designs and simulations, with 250+ examples and 350+ homework p…

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RG Brereton
Data Analysis and Chemometrics for Metabolomics

Understand new modes of analysing metabolomic data Metabolomics is the study of metabolites, small molecules and chemical substrates within cells or larger structures which collectively make up the metabo…

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Kazumitsu Ito
Statistical Data Analysis of Japanese Literature

While working as a full-time doctor at a hospital in the suburbs of Iwata City, Shizuoka Prefecture, Japan, I have been studying Japanese literature. This book was the culmination of over 10 years of dedi…

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Robert Hirsch
Analysis of Epidemiologic Data Using R

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpr…

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Modern Artificial Intelligence and Data Science

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necess…

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Data Protection and Privacy, Volume 16

This book explores the complexity and depths of our digital world by providing a selection of analyses and discussions from the 16th annual international conference on Computers, Privacy and Data Protecti…

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Data and Methods in Corpus Linguistics

"Corpus linguistics continues to be a vibrant methodology applied across highly diverse fields of research in the language sciences. With the current steep rise in corpus sizes, computational power, stati…

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