Have you ever wondered how you could use machine learning in your fundraising initiatives? We were in this same position a year ago. However, after a few months, we have our first working ML model. Now that we are past our initial learning curve, we look back at some of the important elements and would like to share our experience. In this presentation, we will be discussing:
How to find and recruit a strategic, collaborative partner?
How to define the task and scope of an ML problem?
Other elements include dataset curation, technical specifications to consider, as well as
model validation and deployment strategy.