Dataro Tech Explainer #2: An intro to machine learning (AU & NZ)

Welcome to Dataro’s Tech Explainer series where our CTO talks through some of the most commonly asked questions in fundraising tech

After our first tech user group, there were many questions about what features are used by Dataro’s Machine Learning (ML) models.

In order to properly explore this question, it’s important to understand how ML models make use operate of their input features. We think a good way to understand this is by working with three features that many fundraisers already use in their own RFM segmentation. We will train some models with these features, observe how the data is prepared and how the models are evaluated. In addition, we will explore what the models have learned and cover some basics of the learning algorithms.

We will try to keep things approachable, but there is likely to be a little more math and code than time!

We’re looking forward to seeing you there.