Department of Mathematics, University of Colorado Boulder
On Machine Learning
Machine learning (ML) is the process of making computers learn without specifically programming them to do so. ML has a variety of applications including predicting revenue, detecting credit card fraud, and self-driving cars. We will begin by discussing the typical workflow in a ML modeling problem. A summary of several common ML modeling methods will be presented, including logistic regression and neural networks, and we will discuss the types of problems each type of model can solve. Finally, we will discuss some of the projects that I have worked on and potential future projects.