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Percolation theory using Python
ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002Published: Cham Springer 2024“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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Statistics Using Python
ISBN: 9781683928805, 1683928806Published: Berlin Mercury Learning and Information 2024“…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia
ISSN: 2178-9010, 2178-9010Published: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023Published in GeSec : Revista de Gestão e Secretariado (01.10.2023)“… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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Journal Article -
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Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models
ISSN: 1369-7412, 1467-9868Published: Oxford Oxford University Press 01.09.2022Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.09.2022)“…Bayesian inference for nonlinear diffusions, observed at discrete times, is a challenging task that has prompted the development of a number of algorithms,…”
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Journal Article -
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Using GNU Make to Manage the Workflow of Data Analysis Projects
ISSN: 1548-7660, 1548-7660Published: Foundation for Open Access Statistics 2020Published in Journal of statistical software (2020)“…Data analysis projects invariably involve a series of steps such as reading, cleaning, summarizing and plotting data, statistical analysis and reporting…”
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Graph analysis and visualization: discovering business opportunity in linked data
ISBN: 9781118845844, 1118845846, 1118845870, 9781118845875, 9781119183662, 1119183669, 1118845692, 9781118845691Published: Indianapolis WILEY 2015“… The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book…”
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eBook Book -
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Spatial Analysis Using Big Data
ISBN: 0128131322, 9780128131329Published: Academic Press 03.11.2019“…Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems…”
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Modelo de series de tiempo para predecir la demanda de atención de pacientes con enfermedad renal crónica, 2022
ISSN: 1996-7551, 2707-9368Published: 27.12.2024Published in Revista I+i (27.12.2024)“…The main objective of this study is to forecast the demand for patients with chronic kidney disease in state-run healthcare facilities in Peru in 2022 using time series models, and to conduct…”
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