What you need to know about data augmentation for machine learning
Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …
Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …
As a follow-up to my Primer On Universal Function Approximation with Deep Learning, I’ve created a project on Github that …
Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …
There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. …
As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …
Testing is an often overlooked yet critical component of any software system. In some ways this is more true of …
UPDATE: This draft is obsolete. Please see latest draft at I’m pleased to announce the availability of my latest chapter …
Math puzzles always tickle the brain, and this one has tickled quite a few on LinkedIn. Why are these puzzles …
Andrej Karpathy’s post “The Unreasonable Effectiveness of Recurrent Neural Networks” made splashes last year. The basic premise is that you …
I had the pleasure of seeing Gary Marcus give his talk “Making AI More Human” at the NYC Machine Learning …