Utvidet returrett til 31. januar 2025

Bridging the Gap - Machine Learning in Healthcare

Om Bridging the Gap - Machine Learning in Healthcare

"Bridging the Gap - Machine Learning in Healthcare" book navigates the reader through the complex terrain where machine learning algorithms intersect with medical practices. It elegantly bridges the divide between technical intricacies and practical applications, catering to healthcare professionals, researchers, and data scientists alike. The narrative advances with foundational concepts and progressively immerses the reader in advanced machine learning algorithms tailored to healthcare scenarios. Real-world case studies provide tangible examples, illustrating the profound impact of machine learning in medical imaging, diagnostics, and personalized medicine. "Bridging the Gap" stands as a comprehensive guide, empowering readers to harness the full potential of machine learning for the betterment of healthcare.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9786207452613
  • Bindende:
  • Paperback
  • Sider:
  • 72
  • Utgitt:
  • 15. desember 2023
  • Dimensjoner:
  • 150x5x220 mm.
  • Vekt:
  • 125 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 12. desember 2024

Beskrivelse av Bridging the Gap - Machine Learning in Healthcare

"Bridging the Gap - Machine Learning in Healthcare" book navigates the reader through the complex terrain where machine learning algorithms intersect with medical practices. It elegantly bridges the divide between technical intricacies and practical applications, catering to healthcare professionals, researchers, and data scientists alike. The narrative advances with foundational concepts and progressively immerses the reader in advanced machine learning algorithms tailored to healthcare scenarios. Real-world case studies provide tangible examples, illustrating the profound impact of machine learning in medical imaging, diagnostics, and personalized medicine. "Bridging the Gap" stands as a comprehensive guide, empowering readers to harness the full potential of machine learning for the betterment of healthcare.

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