Introduction to Machine Learning

Introduction to Machine Learning
A Biostatistics Short Course

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.

Course Location 

ONLINE

Schedule of Topics:

Week 1: Introduction to machine learning

Week 2: Supervised learning

Week 3: Unsupervised learning 

Week 4: Model development

Week 5: Understanding model performance 

Week 6: Pairing methods to research questions and data

This introductory short course does not replace formal education in biostatistics. Continuous attendance is encouraged.

A certificate of completion will be provided with 5 out of 6 online lectures attended either live or reviewing the recording.

Virtual Course Fee: $340.00

A University P-card or personal credit card can be used for payment.
Sponsored by the Biostatistics, Epidemiology, and Research Design (BERD) core of the CCTSI.
For questions, please contact CIDA.ADMIN@CUANSCHUTZ.EDU

Charges & refunds for all events will appear on a bank statement as: UNIV OF COLORADO EVENTS

Refund Policy:

We are committed to providing you with an exceptional learning experience. If you need to cancel your registration, please review our refund policy below:

Refund Eligibility:

You are eligible for a 100% refund if you cancel your registration up to one day before the course starts.

How to Request a Refund:

To request a refund, please contact our team at Cida.Admin@cuanschutz.edu with your registration details. We will process your refund promptly and notify you once it has been completed.

Important Notes:

Refunds will be issued using the same payment method used for registration.

Please ensure you request your refund within the eligible time frame to receive the full refund amount.

If you have any questions or need further assistance, please don’t hesitate to reach out to us.

Thank you for your understanding and support.