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Hands-On Healthcare Data

Bag om Hands-On Healthcare Data

"Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved -- once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics"-- Back cover.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781098112929
  • Indbinding:
  • Paperback
  • Sideantal:
  • 250
  • Udgivet:
  • 23. august 2022
  • Størrelse:
  • 341x217x17 mm.
  • Vægt:
  • 438 g.
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 18. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Hands-On Healthcare Data

"Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved -- once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics"-- Back cover.

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