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Handbook of AI and Data Sciences for Sleep Disorders

The rise of lifestyle changes resulting from constant connectivity, irregular work schedules, heightened stress, and disruptive sleep patterns, have contributed to increasing insomnia rates. Exacerbated b…

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GIS, Applied Computing and Data Science for Water Management

This book contains a selection of the best articles presented at the 4th International Conference GIRE3D - Participatory and Integrated Management of Water Resources in Arid Zones, November 23th-25th , He…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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Handbook of Artificial Intelligence and Data Sciences for Routing Problems

This handbook delves into the rapidly evolving field of artificial intelligence and optimization, focusing on the intersection of machine learning, combinatorial optimization, and real-world applications …

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Sujit K. Sahu
Introduction to Probability, Statistics & R

A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to lear…

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J. Christopher Westland
Audit Analytics

This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix t…

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Yuri Demchenko, Marharyta Aleksandrova, Oleg Chertov, Juan J. Cuadrado-Gallego
Big Data Infrastructure Technologies for Data Analytics

This book provides a comprehensive overview and introduction to Big Data Infrastructure technologies, existing cloud-based platforms, and tools for Big Data processing and data analytics, combining both a…

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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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Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Lech T. Polkowski
Logic: Reference Book for Computer Scientists

The book gives all interested in computer science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logics. The content will be valid as well for those interested i…

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