{
"item_title" : "Statistical Learning and Data Science",
"item_author" : [" Mireille Gettler Summa", "Leon Bottou", "Bernard Goldfarb "],
"item_description" : "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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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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