This 6-week short course will help you build a working understanding of standard machine learning concepts, terminology, and model types so you can make informed decisions about study design and analysis and engage more effectively with data analysts. Emphasis is placed on understanding the components of a machine learning analysis and how to think critically about its role in the research process. No coding or implementation is required.

Schedule of Topics:

Introduction to machine learning
Supervised learning
Unsupervised learning 
Model development
Understanding model performance
Pairing methods to research questions and data
A credit card can be used for payment. To inquire about using a Speedtype, please contact cida.admin@cuanschutz.edu.

Sponsored by the Biostatistics, Epidemiology, and Research Design (BERD) core of the CCTSI.​

A certificate of completion will be provided with 5 out of 6 in-class lectures attended and all online components completed.