machine learning

learns machine learning often starts with linear regression, not simply because it’s easy, but since it introduces us to the important thing concepts that we use in neural networks and deep learning. We already...

that annoys me is the countless people online, in person, and even in my comments section saying “how AI will replace data scientists.” I find this frustrating since it often comes from individuals who...

Introduction , we recurrently encounter prediction problems where the end result has an unusual distribution: a big mass of zeros combined with a continuous or count distribution for positive values. If you happen to’ve worked...

can produce an incredible amount of content in a brief span. This may very well be creating recent features, reviewing production logs, or fixing a bug report. The bottleneck in software engineering and data...

systems inject rules written by humans. But what if a neural network could discover those rules itself? On this experiment, I extend a hybrid neural network with a differentiable rule-learning module that mechanically extracts...

hall, Tuesday morning. The professor uncaps a marker and writes across the whiteboard: . Your hand copies the formula. Your brain checks out somewhere across the vertical bar. If that memory just surfaced, you’re in...

If you've studied causal inference before, you most likely have already got a solid idea of the basics, just like the potential outcomes framework, propensity rating matching, and basic difference-in-differences. Nonetheless, foundational methods often...

has handled 2.3 million customer conversations in a single month. That’s the workload of 700 full-time human agents. Resolution time dropped from 11 minutes to under 2. Repeat inquiries fell 25%. Customer satisfaction scores...