Dataro Tech Explainer: Model Training and Validation

Dataro CTO Dave Lyndon answers a common questions in fundraising tech – “How are Machine Learning models trained and validated?”

REGISTER HERE: https://www.eventbrite.com.au/e/391462503887

Welcome to our next instalment in the Dataro Tech Explainer series with Dataro CTO, Dave Lyndon.

In the previous two Tech Explainer sessions we’ve looked at the inner workings of linear and tree-based Machine Learning (ML) models.

In this session we explore a topic of critical importance in ML – how to train and validate models in such a way that we can be certain that they will predict accurately ‘in the wild’.

This talk will touch on a number of practical techniques employed at Dataro including:

• evaluation metrics
• validation strategies
• sliding and expanding windows
• model selection
• feature engineering

If you’re looking to grow your regular giving program with less cost and effort, this is a must-attend webinar.