Machine Learning and Deep Learning Algorithms

This chapter provides a brief overview of how machine learning and deep learning algorithms are trained for biomedical natural language processing tasks. The contents of this chapter will be familiar to readers who have previously studied machine learning and deep learning methods. It discusses design of inputs and outputs for machine learning models, training algorithms including gradient descent, feature-based methods including logistic regression and decision trees, and deep-learning methods including convolutional, recurrent, and transformer networks.