Biomedical Applications in Machine Learning

1 Unit · Graduate

Supervised learning tasks such as regression and classification, Convolutional Neural Networks and image analysis techniques and hidden Markov models, unsupervised learning approaches such as clustering and dimensionality reduction will be applied to both structured (numerical) and image data. All models will be implemented in Python, either from scratch or using high-level libraries.