Novel Data-driven Analysis Methods – alle Bücher, Seite 5 online kaufen

Tamás Rudas
Lectures on Advanced Topics in Categorical Data Analysis

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorou…

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Big Data Analysis and Artificial Intelligence for Medical Sciences

Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in t…

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Roberto Piazza
An Invitation to Probability and Data Analysis for Physicists

This book is an introduction to probability, statistics, data analysis, and hypothesis testing in physics. It is designed to be taught at different levels, from basic to advanced, and to be enjoyed by any…

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Arshad Khan
Business Intelligence and Data Analysis in the Age of AI

Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI s transformative power to help professionals and newcomers exce…

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Thomas Cleff
Applied Statistics and Multivariate Data Analysis for Business and Economics

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing…

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Perry
Unpacking Food Choices: Using Data Analysis to Understand Nutritional Trends

Data analysis is the process of collecting, cleaning, and interpreting data to uncover patterns and trends. In the realm of nutrition, this data can come from various sources, including: National surveys…

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Gregor P. Henze, T. Agami Reddy
Applied Data Analysis and Modeling for Energy Engineers and Scientists

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modelin…

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Mehdi Soltanifar, Hamid Sharafi, Tofigh Allahviranloo, Witold Pedrycz
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis

This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The is…

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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. The book delves into var…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Ning Xu, Yunchao Wei, Xiankai Lu, Weiyao Lin
Video Object Segmentation

This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and deve…

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Allen Downey
Think Stats

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs writt…

lieferbar ab 30.4.2025.

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Ning Xu, Yunchao Wei, Xiankai Lu, Weiyao Lin
Video Object Tracking

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and deve…

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Artificial Intelligence in Prescriptive Analytics

Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making …

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Randall K Julian
R Programming for Mass Spectrometry

A practical guide to reproducible and high impact mass spectrometry data analysis R Programming for Mass Spectrometry teaches a rigorous and detailed approach to analyzing mass spectrometry data using the…

lieferbar ab 11.6.2025.

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Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems

This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The …

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Farhad Hosseinzadeh Lotfi, Hilda Saleh, Morteza Shafiee, Tofigh Allahviranloo
Supply Chain Performance Evaluation

The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chai…

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Jean Demaison, Natalja Vogt
Equilibrium Structure of Free Molecules

The properties of chemical, pharmaceutical, and biological compounds depend mainly on their molecular structure, whose determination is of fundamental interest. This book examines and systematizes more th…

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Michael Hagmann, Stefan Riezler
Validity, Reliability, and Significance

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliabilit…

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Eduardo G. Altmann
Statistical Laws in Complex Systems

This book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used t…

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