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Multi-Context Anomaly Detection

Multi-Context Anomaly Detectionvon Farrukh Arslan Sie sparen 11% des UVP sparen 11%
Über Multi-Context Anomaly Detection

As the amount of data generated by the typical modern business increases, so does the prominence of data scientists hired by organizations to help them turn raw data into valuable business information. Data scientists must possess a combination of analytics, machine learning, data mining, and statistical skills, as well as experience with algorithms and coding. Along with managing and interpreting large amounts of data, many data scientists are also tasked with creating data visualization models that help illustrate the business value of digital information. Some of these challenges are discussed here in this title.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786200277961
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 60
  • Veröffentlicht:
  • 7. August 2019
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 107 g.
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  Versandfertig in 1-2 Wochen.

Beschreibung von Multi-Context Anomaly Detection

As the amount of data generated by the typical modern business increases, so does the prominence of data scientists hired by organizations to help them turn raw data into valuable business information. Data scientists must possess a combination of analytics, machine learning, data mining, and statistical skills, as well as experience with algorithms and coding. Along with managing and interpreting large amounts of data, many data scientists are also tasked with creating data visualization models that help illustrate the business value of digital information. Some of these challenges are discussed here in this title.

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