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Machine learning for biomedical applications : with Scikit-Learn and PyTorch /

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"Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descrip...

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Bibliographic Details
Main Authors: Deprez, Maria (Author), Robinson, Emma C. (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam : Academic Press, [2024]
Subjects:
Artificial intelligence > Medical applications.
Artificial intelligence > Biological applications.
Machine learning.
Machine Learning
Intelligence artificielle > Applications en médecine.
Intelligence artificielle > Applications biologiques.
Apprentissage automatique.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Programming in Python
  • 2. Machine learning basics
  • 3. Regression
  • 4. Classification
  • 5. Dimensionality reduction
  • 6. Clustering
  • 7. Decision trees and ensemble learning
  • 8. Feature extraction and selection
  • 9. Deep learning basics
  • 10. Fully connected neural networks
  • 11. Convolutional neural networks.