Machine Learning, Protocols, Classification, and Clustering

Today Suz Hinton @noopkat and Amanda Moran @AmandaDataStax are presenting, “Alternative Protocols – how offline machines can still talk to each other” and “Classification and Clustering Algorithms paired with Wine and Chocolate” respectively. The aim is to stream these talks tonight too on my Thrashing Code Twitch Channel. If you can attend in person, we’re... Continue reading →

More on ML4ALL, Learning About “Using Your Data to Give Your Customers Superpowers”

This year’s ML4ALL is coming up real soon, more details over on the site, but here I’m providing some retrospective talks from last year to get you ready for this year’s ML4ALL! In this talk Kirsten Westeinde (@kmkwesteinde) provides us insights into how your customers can gain superpowers through effective data use. Last year, I... Continue reading →

Eliminating Machine Bias

I introduced Mary Ann Brennan last year for ML4ALL and I really enjoyed the talk Mary gave and wanted to share it again with everyone. The more I learn myself about machine bias, which really is just manifestation of people’s cognitive biases showing through in models because we’ve poorly identified we have a problem, the... Continue reading →

ML Spends A Year In Burgundy with Jon Oropeza at ML4ALL

We’re building up to ML4ALL 2019, and in the meanwhile I want to re-introduce some of the past speakers and show you their talks. This first, of the many, is Jon Oropeza. I introduced him last year here, so check out his talk and work, he’s got a lot of good stuff he’s put together!.... Continue reading →