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Statistical Modeling in Machine Learning: Concepts and Applications

Statistical Modeling in Machine Learning: Concepts and Applications

Statistical Modeling in Machine Learning: Concepts and Applications Paperback - 2022

by Tilottama Goswami (Editor); G. R. Sinha (Editor)

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with ba
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Details

  • Title Statistical Modeling in Machine Learning: Concepts and Applications
  • Author Tilottama Goswami (Editor); G. R. Sinha (Editor)
  • Binding Paperback
  • Condition New
  • Pages 396
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2022-11-07
  • Bookseller's Inventory # ria9780323917766_inp
  • ISBN 9780323917766 / 0323917763
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 9.25 x 7.5 x 0.81 in (23.50 x 19.05 x 2.06 cm)
  • Category Computers - General Information
  • Quantity available 816

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Reader reviews for Statistical Modeling in Machine Learning: Concepts and Applications

From the publisher

Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach - putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning.

Statistical Modeling in Machine Learning: Concepts and Applications will help statisticians, machine learning practitioners and programmers solving various tasks such as classification, regression, clustering, forecasting, recommending and more.

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