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Statistical Learning and Data Science|Mireille Gettler Summa

Statistical Learning and Data Science

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Overview

Driven by a vast range of applications, data analysis and learning from data are vibrant areas of research. Various methodologies, including unsupervised data analysis, supervised machine learning, and semi-supervised techniques, have continued to develop to cope with the increasing amount of data collected through modern technology. With a focus on applications, this volume presents contributions from some of the leading researchers in the different fields of data analysis. Synthesizing the methodologies into a coherent framework, the book covers a range of topics, from large-scale machine learning to synthesis objects analysis.

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Details

  • ISBN-13: 9780367381899
  • ISBN-10: 0367381893
  • Publisher: CRC Press
  • Publish Date: September 2019
  • Dimensions: 9.9 x 6.9 x 0.7 inches
  • Shipping Weight: 2.1 pounds
  • Page Count: 243

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