UPDATED: Video Added from the Conference! Introducing Catherine Nelson > @DrCatNelson < presenting “Practical Privacy in Machine Learning Systems”. Catherine Nelson is a Senior Data Scientist for Concur Labs at SAP Concur, where she explores innovative ways to use machine learning to improve the experience of a business traveller. She is particularly interested in privacy-preserving... Continue reading →

One talk that opened my mind to new ideas about where, how, and when to use machine learning was Amy Cheng’s @am3thyst talk on Machine Learning, Art, and JavaScript. I introduced her last year in my previous post, and am linking the talk below. Give it a watch, it’s worth the listen! ML4ALL 2019 is... Continue reading →

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 →

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 →

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 →