Novel Data-driven Analysis Methods – alle Bücher, Seite 4

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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Julhash U. Kazi
Python Essentials for Biomedical Data Analysis: An Introductory Textbook

This introductory book is a beginner-friendly resource that empowers you to harness Python programming for exploring and understanding biomedical data. In today's data-driven world, the ability to analyze…

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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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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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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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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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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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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…

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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!

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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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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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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…

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Ning Xu, Weiyao Lin, Xiankai Lu, Yunchao Wei
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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David Asboth
The Well-Grounded Data Analyst

From the back cover:The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model …

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A César González-García
Archaeoastronomy

How does archaeoastronomy assist archaeologists in comprehending the past of human societies? Archaeoastronomy is an interdisciplinary field that combines scientific principles and astronomical measuremen…

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Konstantin M. Zuev
Fundamentals of Statistical Inference

International Series in Operations Research & Management Science - Band 374

This book serves as a concise and reader-friendly, yet rigorous and thought-provoking introduction to the field of statistical inference. As opposed to classical books on mathematical statistics, where th…

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A César González-García
Archaeoastronomy

How does archaeoastronomy assist archaeologists in comprehending the past of human societies? Archaeoastronomy is an interdisciplinary field that combines scientific principles and astronomical measuremen…

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Juergen Bohnemeyer
Semantic Research

The first of its kind, this textbook provides a comprehensive introduction to the study of semantics and pragmatics from an interactionist perspective, grounded entirely on empirical methods of social/beh…

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Juergen Bohnemeyer
Semantic Research

The first of its kind, this textbook provides a comprehensive introduction to the study of semantics and pragmatics from an interactionist perspective, grounded entirely on empirical methods of social/beh…

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Gérard-Michel Cochard, Mhand Hifi
Mathematics for Digital Science 3

Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathe…

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