ML4ALL LiveStream, Talks & More

If you’re attending, or if you’re at the office or at home, you can check out the talks as they go live on the ML4ALL Youtube Channel! Continue reading →

IDE Launcher via Amtrak Cascades to Portland for ML4ALL

Got fidgety on the train, and just wanted to write code, on the way down to Portland for ML4ALL so I wrote up some decision tree code on determining what IDE’s I want opened up. Ya know, if you do something more than twice it needs automated, so I’ve started the process of automating all... Continue reading →

#ML4ALL Bike Ride Details

I previously posted the map when I introduced Igor and Carol, but for reference, here it is again with some additional details! The ride will be what I’d call a “slow ride“, which is a super chill, easy going, roll through neighborhoods on the east side of Portland, down through the hip inner south east,... Continue reading →

Barriers To Accelerating The Training Of Artificial Neural Networks – A Systemic Perspective – Meet Manuel Muro

The real breakthrough for the modern Artificial Intelligence (AI) and Machine Learning (ML) technology explosions started back in 1943 when researchers McCulloch & Pitts came up with a mathematical model to represent that function of the biological neuron; nature’s gift that allows all life to operate and learn over time. Eventually this research would then... Continue reading →

UUID Solutions w/ Go

Want a UUID generator for your Go code? It’s likely you’ll need one sometime. Well here’s a short code snippet and a review of one of the available UUID libraries available. The library is avaliable at https://github.com/satori/go.uuid. With test coverage this library supports the following UUID types. I’ll elaborate on what each of these types... Continue reading →