Statistical foundation of data science / Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou.

By:

Fan, Jianqing

Contributor(s):

Material type: Text

TextSeries: CRC data science seriesPublication details: Boca Raton: CRC Press, 2020.Edition: 1Description: xxi, 752 pISBN:

9781466510845
9780367512620

DDC classification:

519.5 FAN

Summary: "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"--

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Book	Dept. of Computer Science Reference	Dept. of Computer Science	519.5 FAN (Browse shelf(Opens below))	Available	DCS4893
Book	Dept. of Futures Studies General Stacks	Dept. of Futures Studies	519.5 FAN (Browse shelf(Opens below))	Available	DFS4590

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"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"--

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