Novel Data-driven Analysis Methods – alle Bücher, Seite 3

Mike Nguyen
Foundations of Data Analysis

This volume is designed not only as a foundation for mastering modern data analysis but also as a trusted companion for revision and review. Whether you're encountering these ideas for the first time or r…

lieferbar in mind. 4 Wochen

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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, …

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Mike Nguyen
Regression Techniques for Data Analysis

This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear models to …

lieferbar ab 26.11.2025.

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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…

lieferbar innerhalb 2-3 Wochen

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Smart Applications and Data Analysis

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 ful…

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Andres Fortino
Data Analysis for Business Decisions

In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to…

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Dmytro Zherlitsyn
Financial Data Analysis Using Python

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio t…

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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,…

lieferbar innerhalb 2-3 Wochen

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Smart Applications and Data Analysis

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 ful…

lieferbar innerhalb 2-3 Wochen

Buch

Aleksei Beltukov
Differential Equations and Data Analysis

This book is focused on modeling with linear differential equations with constant coefficients. The author starts with the elementary natural growth equation and ends with the heat equation on the real li…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Sustainable Statistical and Data Science Methods and Practices

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to addr…

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Rubén Ballester, Carles Casacuberta, Sergio Escalera
Topological Data Analysis for Neural Networks

SpringerBriefs in Computer Science

This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homolog…

lieferbar ab 1.12.2025.

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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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Machine Learning Methods for Multi-Omics Data Integration

Chapter 1: Introduction to Multiomics Technology, Ahmed Hajyasien.- Chapter 2: Multi-omics Data Integration Applications and Structures, Ammar El-Hassa.- Chapter 3: Machine learning approaches for multi-o…

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Supervised and Unsupervised Statistical Data Analysis

The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical res…

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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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Dimitri Mortelmans
Doing Qualitative Data Analysis with NVivo

This open access textbook provides an introduction to the software program NVivo, the most widely used qualitative analysis program. It is a versatile program with an extensive range of accessible analysi…

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Andreas Knoblauch
Mathematik für Informatik und Data Science

Dieses Buch liefert eine kompakte aber fundierte Darstellung der wichtigsten Gebiete der Mathematik für Informatik, die insbesondere für Data Science, Künstliche Intelligenz und Maschinelles Lernen notwen…

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Advanced Methods in Statistics, Data Science and Related Applications

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific commu…

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