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This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear... Read More >>
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting... Read More >>
This book illustrates the potential for computer simulation in the study of modern slavery and worker abuse, and... Read More >>
Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number... Read More >>
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic... Read More >>
This book provides a friendly introduction to the paradigm and proposes a broad panorama of killing applications... Read More >>
This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually... Read More >>
Presented using Mathematica code, the book is fully supported by downloadable sessions in Mathematica, Maple, and... Read More >>
Presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling... Read More >>
This book brings together two major trends: data science and blockchains. It is one of the first books to systematically... Read More >>
This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.)... Read More >>
The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models... Read More >>
This book is written for research students and early-career researchers to quickly and easily learn how to analyse... Read More >>
Starting with an overview of the origins of graph theory and its current applications in the social sciences, the... Read More >>
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform... Read More >>
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Statistics is more topical than ever. Numerous decisions depend on statistical considerations: just think of the... Read More >>
Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data... Read More >>
This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs).... Read More >>
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence... Read More >>
This text provides a practical, hands-on introduction to data conceptualization, measurement, and association through... Read More >>
This book discusses all major topics on survey sampling and estimation. As a large sample size is not cost-efficient,... Read More >>
Dieses Buch richtet sich an Studierende verschiedener Fachrichtungen, die das Softwarepaket Octave als kostenfreien... Read More >>