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A Computational Approach to Statistical Learning
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A Computational Approach to Statistical Learning Paperback - 2020

by Taylor Arnold; Michael Kane; Bryan W. Lewis

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From the publisher

This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics and machine learning. We provide concrete applications of these methods by giving complete reference implementations for a large set of the most commonly used statistical estimators. The goal is

Details

  • Title A Computational Approach to Statistical Learning
  • Author Taylor Arnold; Michael Kane; Bryan W. Lewis
  • Binding Paperback
  • Pages 362
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2020-06-30
  • Features Annotated
  • ISBN 9780367570613 / 0367570610
  • Weight 1.16 lbs (0.53 kg)
  • Dimensions 9.21 x 6.14 x 0.78 in (23.39 x 15.60 x 1.98 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 006.310

About the author

Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015.

Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010.

Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.

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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning

by Taylor Arnold

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9780367570613 / 0367570610
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Paperback / softback. New. This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics and machine learning. We provide concrete applications of these methods by giving complete reference implementations for a large set of the most commonly used statistical estimators. The goal is
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A$101.04
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A Computational Approach to Statistical Learning

A Computational Approach to Statistical Learning

by Taylor Arnold

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ISBN 10 / ISBN 13
9780367570613 / 0367570610
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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics and machine learning. We provide concrete applications of these methods by giving c
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A Computational Approach To Statistical Learning
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A Computational Approach To Statistical Learning

by Arnold, Taylor; Kane, Michael; Lewis, Bryan W,

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9780367570613 / 0367570610
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A Computational Approach To Statistical Learning
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A Computational Approach To Statistical Learning

by Arnold, Taylor; Kane, Michael; Lewis, Bryan W,

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A Computational Approach to Statistical Learning
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A Computational Approach to Statistical Learning

by Arnold, Taylor/ Kane, Michael/ Lewis, Bryan W.

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ISBN 10 / ISBN 13
9780367570613 / 0367570610
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Chapman & Hall, 2020. Paperback. New. 374 pages. 9.21x6.14x0.94 inches.
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A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)
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A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

by Arnold, Taylor

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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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