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Predictive Analytics Using Statistics and Big Data
Predictive Analytics Using Statistics and Big Data
Knygos.lt klubas Knygos.lt nariams
59,49 €
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84,99 €
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This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics.Topics included in this book include: - Categorized machine learning algorithms- Player monopoly in cricket teams.- Chain type estimat…
  • Leidėjas:
  • ISBN-10: 9811490503
  • ISBN-13: 9789811490507
  • Formatas: 17.8 x 25.4 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Predictive Analytics Using Statistics and Big Data (el. knyga) (skaityta knyga) | knygos.lt

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This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics.Topics included in this book include: - Categorized machine learning algorithms- Player monopoly in cricket teams.- Chain type estimators- Log type estimators- Bivariate survival data using shared inverse Gaussian frailty models- Weblog analysis- COVID-19 epidemiologyThis reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field

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  • Leidėjas:
  • ISBN-10: 9811490503
  • ISBN-13: 9789811490507
  • Formatas: 17.8 x 25.4 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics.Topics included in this book include: - Categorized machine learning algorithms- Player monopoly in cricket teams.- Chain type estimators- Log type estimators- Bivariate survival data using shared inverse Gaussian frailty models- Weblog analysis- COVID-19 epidemiologyThis reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field

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