Learning

missed but hugely vital a part of enabling machine learning and subsequently AI to operate. Generative AI corporations are scouring the world for more data continuously because this raw material is required in...

I the concept of federated learning (FL) through a comic by Google in 2019. It was a superb piece and did a fantastic job at explaining how products can improve without sending user...

. Compliance wants fairness. The business wants accuracy. At a small scale, you'll be able to’t have all three. At enterprise scale, something surprising happens. Disclaimer:  The Regulator’s Paradox You’re a credit risk manager at a mid-sized...

part in a two-part series on career-long learning as a knowledge scientist. The primary article covered why try to be a career-long learner and the right way to give you topics to review. In...

was co-authored by Sebastian Humberg and Morris Stallmann. Introduction      Machine learning (ML) models are designed to make accurate predictions based on patterns in historical data. But what if these patterns change overnight? For...

that frustrating hovering drone from ? The one which learned to descend toward the platform, go through it, after which just… hang around below it eternally? Yeah, me too. I spent a whole afternoon...

use gradient descent to seek out the optimal values of their weights. Linear regression, logistic regression, neural networks, and enormous language models all depend on this principle. Within the previous articles, we used...

, we'll implement AUC in Excel. AUC is normally used for classification tasks as a performance metric. But we start with a confusion matrix, because that's where everyone begins in practice. Then we'll see why a...