Practical AI for healthcare professionals : machine learning with Numpy, Scikit-learn, and TensorFlow /

Use Artificial Intelligence (AI) to analyze and diagnose what previously could only be handled by trained medical professionals. This book gives an introduction to practical AI, focusing on real-life medical problems, how to solve them with actual code, and how to evaluate the efficacy of these solu...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Suri, Abhinav (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic eBook
Language:Inglés
Published: [United States] : Apress, 2022.
Edition:1st edition.
Subjects:
Artificial intelligence > Medical applications.
Machine learning.
Machine Learning
Intelligence artificielle en médecine.
Apprentissage automatique.
Artificial intelligence > Medical applications
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Introduction to AI and its Use Cases- Chapter 2: Computational Thinking
  • Chapter 3: Overview of Programming
  • Chapter 4: A Brief Tour of Machine Learning Algorithms. -Chapter 5: Project #1 Neural Networks & Heart Disease
  • Chapter 6: Project #2 CNNs & Brain Tumor Detection
  • Chapter 7: The Future of Healthcare and AI.

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