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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

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Scalable Data Management for Future Hardware

This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architecture…

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Omar Hijab
Math for Data Science

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer scienc…

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Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

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GANs for Data Augmentation in Healthcare

Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magn…

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Giorgia Burzio, Venere Ferraro
Physicalizing Data: Design Approaches for Human-Data Interaction

This book examines the role of data within interaction design, with a particular focus on the practice of data physicalization, an approach that aims to make data tangible and sensorially experienced. Mov…

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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 …

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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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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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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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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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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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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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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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Lillian Pierson
Data Science Essentials for Dummies

The pocket-sized guide to data scienceYou've just picked up a concise little book that covers all the fundamentals of data science. Data Science Essentials For Dummies distills everything you need to know…

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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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Stephen Dawe, Daniela Galatro
Data Analytics for Process Engineers

This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modell…

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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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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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