Machine Learning for Domain Experts: An Introduction

This course is aimed at people who would like to know what machine learning (ML) is and what its implications are for their domain. We explore the basic working principles of this technology, components of an ML project and possible challenges in implementing ML models, supported by real-life ML application examples.

After this course, participants will be able to:

• ​Recognize projects where machine learning can be helpful
• Evaluate proposals related to machine learning
• ​Communicate with machine learning engineers and data scientists

No experience with ML is needed for this course!

The Course has capacity for 25 people max. Once the max has been reached, you'll be placed on a waiting list.