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Multi-Context Anomaly Detection - Farrukh Arslan

englanti
2019-08-07
29,04 € 38,72 €

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Toimitus 12-18 arkipäivässä

30 päivän palautusoikeus

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 ... Täydellinen kuvaus

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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.

Lisätietoja

Kirjoittaja Farrukh Arslan
Julkaisija LAP LAMBERT Academic Publishing
Julkaisuvuosi 2019
Kannen tyyppi Pehmeäkantinen
EAN 9786200277961
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Arvostelet: Multi-Context Anomaly Detection
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29,04 € 38,72 €