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Statistical Foundations of Data Science-P2P

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.

Statistical Foundations of Data Science-P2P
English | 2020 | ISBN-13: 978-1466510845 | 775 Pages | True PDF | 34.28 MB
Download: ( NITROFLARE ) | ( RAPIDGATOR )

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