Principles and Methods for Data Science - Humanitas

Principles and Methods for Data Science

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ISBN: 9780444642110
Leidimo metai: 2020
Leidėjas: North Holland
Leidinio kalba: Anglų
Formatas: Kieti viršeliai
Formatas: 9×6
Aprašymas
<p><i>Principles and Methods for Data Science, Volume 43</i> in the <i>Handbook of Statistics </i>series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. </p>

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