【2023大学教学课件】多伦多大学 生物医学研究中的机器学习基本原理

01 Intro to ML in medicine,nearest neighbor classifier

02 Linear methods for regression and classification;tree-based classifier

03 ENSEMBLE-based methods;neural networks

04 Supervised learning;Python tutorial for supervised learning practice

05 Unsupervised learning for clustering:K-means,Gaussian mixture models

06 Unsupervised learning for clustering:auto-encoder,graph-based methods

07 Convolutional Neural Networks

08 Advanced deep learning methods for medical image analysis