Jun 14, 2013 — Modeling Biomedical Systems (BMI 210) — Comprehensive Study tools for BMI 210: Methods for modeling biomedical systems and for making those models explicit in the context of building software systems. Emphasis is on intelligent systems for decision support and Semantic Web applications. Topics: knowledge representation, controlled... Read more

Jun 13, 2013 — K-Nearest Neighbor Clustering (KNN) — K nearest neighbor (KNN) clustering is a supervised machine learning method that predicts a class label based on looking at other labels from the dataset that are most similar.  In a nutshell, the only things that you need for KNN... Read more

Jun 13, 2013 — Linear Regression — What is Linear Regression? What does a dataset look like? How do we fit a model? Batch Gradient Descent Stochastic Gradient Descent The Normal Equations Summary What is Linear Regression? Linear regression is modeling some linear relationship between a dependent... Read more

Jun 12, 2013 — FDR Correction — The False Discovery Rate (FDR) is a method used to correct for multiple comparisons in a statistical test. It is abstractly a method that gives us the idea of the false positive rate not for one single hypothesis, but for... Read more