Data Analytics – alle Bücher, Seite 4

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

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…

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Advances in the Theory and Practice of Data Envelopment Analysis

Lecture Notes in Operations Research

This book presents selected proceedings from the International Conference on Data Envelopment Analysis (DEA 2024), held from November 18--21, 2024, at the Birla Institute of Management Technology (BIMTECH…

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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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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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Maria Isabel Bueno Cachadina, Javier Perez Alvaro
Matrix Methods in Data Analysis

Modern Aspects of Electrochemistry - Band 80

This textbook offers a fresh and balanced approach to the study of Linear Algebra in the context of modern Data Science. Whereas many existing texts either emphasize theory with little connection to pract…

lieferbar ab 22.6.2026.

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Emily Wall
Human Bias in Visual Data Analysis

This open access book demonstrates how human biases affect the process of visual data analysis, a subject which has typically been left to researchers in cognitive and perceptual psychology and the social…

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Sebastiano Vasi, Ulderico Wanderlingh, Giuseppe Mandaglio
Open Source Tools for Physics Data Analysis

Undergraduate Texts in Physics

This textbook aims to provide computing skills to analyze data collected by means of several types of experiments. Generally speaking, the analysis of data is complementary to experimental and/or theoreti…

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Pawel Tokaj, Jia Yu, Mo Sarwat
Cloud Native Geospatial Analytics with Apache Sedona

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative …

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Raphael Röttinger
Data Analysis and Risk Modelling for Terrorism Prevention:

In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, …

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Collection and Analysis of Text Data in Sensory and Consumer Science

Understanding how consumers truly perceive products is at the heart of sensory and consumer science. While traditional surveys rely on limited, predefined response options, open-ended questions invite par…

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Kevin J. Grimm
Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

lieferbar in mind. 4 Wochen

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Ulrich Matte
Data Analysis with AI and R: Using OpenAI, Copilot, and aider

Upgrade your analytics with AI-from generating code to optimizing your workflows!

lieferbar in mind. 4 Wochen

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

lieferbar in mind. 4 Wochen

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Sarah Buschfeld, Claus Weihs
Optimizing Decision Trees for the Analysis of World Englishes and Sociolinguistic Data

This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is b…

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Sarah Buschfeld, Claus Weihs
Optimizing Decision Trees for the Analysis of World Englishes and Sociolinguistic Data

This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is b…

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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 in mind. 4 Wochen

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Application and Development of Data Simulation and Mechanical Analysis in Civil Engineering

Sustainable Civil Infrastructures

The proceedings of the 11th International Conference on Civil Engineering are mainly aimed at middle and senior engineering and technical personnel in the field of civil engineering. It mainly reports the…

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Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori
Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis

This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and method…

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Uwe Haneke, Michael Zimmer, Stephan Trahasch
Künstliche Intelligenz für Business Analytics

Know-how für erfolgreiche KI-InitiativenUmfassendes und anwendungsbezogenes HandbuchVerständliche Darstellung des Einsatzes neuer Technologien wie generative KI, LLMs und Chatbot-AnwendungenMit vielen Pra…

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