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Machine Learning for Biomedical Applications
With Scikit-Learn and PyTorch
Emma C. Robinson , Maria Deprez
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.
- Gives a basic understanding of the most fundamental concepts within machine learning and their role in biomedical data analysis.
- Shows how to apply a range of commonly used machine learning and deep learning techniques to biomedical problems.
- Develops practical computational skills needed to implement machine learning and deep learning models for biomedical data sets.
- Shows how to design machine learning experiments that address specific problems related to biomedical data
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