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Multi-Context Anomaly Detection - Farrukh Arslan

Anglų
2019-08-07
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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 amo ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Farrukh Arslan
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2019
Viršelio tipas Minkšti viršeliai
EAN 9786200277961
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29,04 € 38,72 €