Data-Driven Models Of Neutropenia – alle Bücher und LPs, Seite 4

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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Fidelia Cascini
Secondary Use of Electronic Health Data

This open access book provides an in-depth overview of the characteristics, significance, backgrounds and limits of the most relevant electronic health data categories used at a global level for secondary…

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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…

lieferbar in mind. 4 Wochen

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Aurora Clark
The Shape of Data in Chemistry

An Advanced Textbook Introducing Graph Theory and Topological Data Analysis for Chemists Chemistry is at a tipping point where the integration with applied mathematics is dramatically expanding research p…

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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 …

lieferbar ab 4.9.2025.

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Arshad Khan
Data Ethics in the Age of AI

In a world increasingly shaped by data and artificial intelligence, the ethical challenges surrounding data use have never been more critical. Data Ethics in the Age of AI provides a compelling exploratio…

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Katherine Munro, Danko Nikolic, Stefan Papp, Wolfgang Weidinger
The Handbook of Data Science and AI

A comprehensive overview of the various fields of application of data science and artificial intelligence.Case studies from practice to make the described concepts tangible.Practical examples to help you …

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Computing, Internet of Things and Data Analytics

This proceedings book offers a multidimensional exploration of the latest advancements in data science and technology, providing valuable insights for researchers, professionals, and enthusiasts in the ra…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Michael Eid, Christian Geiser, Tobias Koch
Structural Equation Modeling of Multiple Rater Data

From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book show…

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Data Analytics for Internet of Things Infrastructure

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the us…

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Constantinos Markides, Gianvito Lanzolla
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 ab 31.8.2025.

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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 ab 31.8.2025.

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Kwang Hun Kim, Ju Song Kim, Song Il Ri
Application of data decomposition and deep learning technique

Water pollution is one of the most serious environmental problems worldwide. Accurate forecast of water quality is of great importance since it can provide useful information for the managers to minimize …

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Jürgen Jost, Parvaneh Joharinad
Mathematical Principles of Topological and Geometric Data Analysis

This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory…

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Azhar Ul Haque Sario
Sales Forecasting

Sales Forecasting: Data Science ModelsUnlock the future of sales with the power of data science. This book is your guide to predicting sales across various industries using advanced techniques like:Regres…

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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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Philippe Bonnet, Alberto Lerner
Principles of Database and Solid-State Drive Co-Design

This book offers a comprehensive resource on Solid-State Drives (SSD) as the field undergoes a radical evolution characterized by the incredible variety of SSD forms and their rapid diversification. It pr…

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Advances in Data Science and Optimization of Complex Systems

This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, V…

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