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Quantum-Inspired Approaches for Intelligent Data Processing

Stay ahead of the technological curve with this comprehensive, practical guide that showcases how the fusion of quantum principles and soft computing is delivering transformative solutions across finance,…

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Juan Francisco Santini, Flavia Sacco Capurro, Daniel Rogger, Timothy Lundy
Data for Better Governance

This report provides a conceptual framework to assess and provide guidance on the government analytics agenda in Latin America and the Caribbean, and how the region can harvest the benefits of GovTech inv…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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Fortunato Pesarin, Luigi Salmaso
Permutation Tests for Complex Data

TIMELY UPDATE OF A POPULAR EDITION ON PERMUTATION TESTING WITH NUMEROUS CASE STUDIES INCLUDED THROUGHOUTThe newly revised and updated Second Edition of Permutation Tests for Complex Data describes permuta…

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Erik Herman
Data Science for Decision Makers

Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increas…

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Haviv Moshe
Continuous Optimization For Data Science

The text is divided into three main parts: unconstrained optimization, constrained optimization, and linear programming. The first part addresses unconstrained optimization in single-variable and multivar…

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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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Grey Ballard, Tamara G Kolda
Tensor Decompositions for Data Science

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiq…

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Ugur Küpper
Data-driven Model for Process Evaluation in Wire EDM

Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using r…

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Multimodal Data Fusion for Bioinformatics Artificial Intelligence

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and th…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Vasundra Srinivasan
Data Engineering for Multimodal AI

A shift is underway in how organizations approach data infrastructure for AI-driven transformation. As multimodal AI systems and applications become increasingly sophisticated and data hungry, data system…

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Charles Givre
Applied Data Science for Cybersecurity

Discover how to apply contemporary data science and machine learning to cybersecurityIn Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delive…

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Once Upon A Time In Hollywood

Am 15. August kommt der neue Film von Quentin Tarantino in die deutschen Kinos - »Once Upon A Time... In Hollywood« entführt den Zuschauer ins Hollywood des Jahres 1969, eine Zeit radikaler und grundlegen…

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2 LPs

Challenges and Algorithms for Knowledge Discovery from Data

Arno Siebes graduated in Mathematics from Utrecht University in 1983. He joined CWI in Amsterdam in 1985, and obtained his Ph.D. in 1990 from Twente University. In 2000, he joined Utrecht University, wher…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Carolyn Adams, Judy Allen, Felicity Flack
Sharing Linked Data for Health Research

This book will benefit researchers and research institutions by explaining the regulatory environment for access to government held data for research. The book will also be valuable to government policy m…

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IoT and Big Data Technologies for Health Care

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in L…

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

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Environmental Policy Science's Exploration for Innovative Data

.- Chapter One, Introduction: Challenges and Opportunities for Mid-Century Social Scientists working on Environmental Policy..- Chapter Two: Tracking Variation in Activity in Unconventional Oil and Gas Su…

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