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Data Analysis in the AI Era
Data Analysis in the AI Era
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279,22 €
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Data Analysis in the AI Era covers the process of exploring and analyzing data from various sources for the purpose of extracting information, building models, and making decisions and inferences. The AI and data analysis field is a scientific area that has grown enormously in recent decades, following a rapidly growing computer industry and the wide applicability of computational techniques in conjunction with new advances in analytic tools. Modeling enables data analysts to apply various stat…
  • Leidėjas:
  • ISBN-10: 1836691394
  • ISBN-13: 9781836691396
  • Formatas: Kieti viršeliai
  • Kalba: Anglų

Data Analysis in the AI Era (el. knyga) (skaityta knyga) | knygos.lt

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Data Analysis in the AI Era covers the process of exploring and analyzing data from various sources for the purpose of extracting information, building models, and making decisions and inferences.

The AI and data analysis field is a scientific area that has grown enormously in recent decades, following a rapidly growing computer industry and the wide applicability of computational techniques in conjunction with new advances in analytic tools. Modeling enables data analysts to apply various statistical methods to the data they are investigating, identify relationships between variables, make predictions about future sets of data, and understand, interpret and visualize the extracted information more strategically. New research results have been developed and published, with many more in progress at the present time.

This book includes applications to health, demography, markets and climate, along with new mathematical and statistical techniques.

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  • Leidėjas:
  • ISBN-10: 1836691394
  • ISBN-13: 9781836691396
  • Formatas: Kieti viršeliai, kieti viršeliai
  • Kalba: Anglų

Data Analysis in the AI Era covers the process of exploring and analyzing data from various sources for the purpose of extracting information, building models, and making decisions and inferences.

The AI and data analysis field is a scientific area that has grown enormously in recent decades, following a rapidly growing computer industry and the wide applicability of computational techniques in conjunction with new advances in analytic tools. Modeling enables data analysts to apply various statistical methods to the data they are investigating, identify relationships between variables, make predictions about future sets of data, and understand, interpret and visualize the extracted information more strategically. New research results have been developed and published, with many more in progress at the present time.

This book includes applications to health, demography, markets and climate, along with new mathematical and statistical techniques.

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