, Kyle Wilbert, Maery Simmons (Past Member), Heath Wilder, , Brian Parker (Past Member), (et. al.)
What have you been experimenting with when it comes to Machine Learning (ML)?
Right now I'm working on building a prototype production environment for our first ML models. (This is in contrast to the development environment on my laptop.) The first model for me will be making our attendance model production. Looking at short-term (0-10 day), medium-term (1 month) and long-term(18 months) forecast of "walk-in" attendance.
The prototype production environment will be on a small Linux based system running Dataiku's DSS. This is providing me a production infrastructure for the usual data science tools, Python, R notebooks, mostly scikit learn based models, some nice visual ETL tools and additional visualization capabilities.
My plans are then to work with members of the INFORM The Institute for Operations Research and the Management Sciences. (https://connect.informs.org/probonoanalytics/home) to fine-tune and validate modeling approach. So, we can know how confident we can be in such a model.
I'm curious what you may be doing? And are their anythings that analytic Coffee! members can do to help one another to move ML forward withing the Cultural Non-Profit Community?
--Tom
I haven't been doing much yet except starting to build my own understanding of Machine Learning! I'm eager to hear more about what everyone else is doing, as I think ML is going to be a really great tool for the non-profit community.