ml_2026_pitt, "Snapshots of Machine Learning", an overview of five cases in which machine learning is applied, made to Professor Jeff Wheeler's class on "Big Problems", Department of Mathematics, University of Pittsburgh, ??? 2026.
The information on this web page is distributed under the MIT license.
boston_housing, a keras code which sets up a neural network to apply regression to predict housing prices, based on the Boston housing dataset, as read from the keras dataset service.
dogs_vs_cats, a keras code which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
markov_text, a Python code which uses a Markov Chain Monte Carlo (MCMC) process to sample an existing text file and create a new text that is randomized, but retains some of the structure of the original one.
theodolite, a Python code which presents the problem of estimating the location of an event which occurs in the sky, atmosphere, or the heavens, using nothing but the reported angle of observation from several stations; this is an example in which a nonlinear least squares (NLS) solver is needed.
John Burkardt.