Jun 20, 2013 — Logistic Regression — Logistic Regression is a supervised learning method for predicting a discrete outcome (y) based on one or more features (x).  If you remember in linear regression we were trying to predict a continuous variable, and in logistic regression we are... Read more

Jun 19, 2013 — Locally Weighted Linear Regression — Let’s say that we have some relationship between our outcome variable (y) and one or more predictors (x) that isn’t cleanly linear, quadratic, or even cubic.  Let’s say that this relationship looks like a squiggle of pasta, and we might... Read more

Jun 18, 2013 — Neuroanatomy of Autism — This article can be found at: http://www.ncbi.nlm.nih.gov/pubmed/18258309 sMRI Pathological / abnormal regions in ASD: frontal lobes, amygdala and cerebellum time course of brain development, not final product, is most disturbed in autism (so age is a salient factor, and we would... Read more

Jun 17, 2013 — Maximum Likelihood Estimation (MLE) — Maximum Likelihood Estimation is a technique that we use to estimate the parameters for some statistical model.  For example, let’s say that we have a truckload of oatmeal raisin cookies, and we think that we can predict the number of... Read more