, 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'm becoming a big fan of these posts; keep it up, Tom!
I haven't had the luxury of getting to run any sort of analysis since I began in April, as we've been in implementation and our current database is very, very messy. Once I get it cleaned up by Q2 2020 (fingers crossed) I plan to run a lot of analyses based around our demographics in the context of outreach and program participation. Clustering algorithms will probably be at the forefront of my ML endeavors.
As far as how this community can help one another, I think the area that we can be most helpful with aiding in understanding what tools work best for what types of analysis.
Looking forward to seeing you all pioneering ML methods for your organizations!