Technological and coding misadventures!
🆕 Had a great time at the last Seattle Scalability Meetup. I’ve also just finished processing and fixing up the talk video from this last Seattle Scalability Meetup. I feel like I’ve finally gotten the process of streaming and getting things put together post-stream so that I can make them available almost immediately afterwards. Here... Continue reading
Twitter Goal: Grow our follower count and reach, entertain, laugh, make hot takes – as one does on Twitter, educate, and get value out of it ourselves. Don’t! Don’t buy followers (i.e. don’t pay anybody that promises X followers, market share, or whatever it is they’re selling). We can’t trust this method as it’s often... 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
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
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
