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Predictive Analytics

- Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Om Predictive Analytics

In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. Delen's holistic approach covers all this, and more:Data mining processes, methods, and techniquesThe role and management of dataPredictive analytics tools and metricsTechniques for text and web mining, and for sentiment analysisIntegration with cutting-edge Big Data approachesThroughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

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  • Språk:
  • Engelska
  • ISBN:
  • 9780136738510
  • Format:
  • Häftad
  • Sidor:
  • 448
  • Utgiven:
  • 19. januari 2021
  • Utgåva:
  • 2
  • Mått:
  • 226x152x28 mm.
  • Vikt:
  • 690 g.
  Fri leverans
Leveranstid: Okänt - saknas för närvarande
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av Predictive Analytics

In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. Delen's holistic approach covers all this, and more:Data mining processes, methods, and techniquesThe role and management of dataPredictive analytics tools and metricsTechniques for text and web mining, and for sentiment analysisIntegration with cutting-edge Big Data approachesThroughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

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