Choosing a proper metric is a crucial yet difficult part of the machine learning project. In this talk, you will learn about a number of common and lesser-known metrics and performance charts as well as typical decisions when it comes to choosing one for your project.

For every metric or chart I will talk about: - What is the definition and intuition behind it, - The non-technical explanation for business stakeholders, - How to calculate/plot it, - When should you use it.

Hopefully, with all that knowledge you will be fully equipped to deal with metric-related problems in your future projects!