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

By: Contributor(s): Material type: TextTextSeries: 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 Date due Barcode
Book Book Dept. of Computer Science Reference Dept. of Computer Science 519.5 FAN (Browse shelf(Opens below)) Available DCS4893
Book Book Dept. of Futures Studies General Stacks Dept. of Futures Studies 519.5 FAN (Browse shelf(Opens below)) Available DFS4590

"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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