Machine

, whether you’re a manager, an information scientist, an engineer, or a product owner, you’ve almost definitely been in no less than one meeting where the discussion revolved around “putting a model in production.” But...

of the AI boom, the pace of technological iteration has reached an unprecedented level. Previous obstacles now appear to have viable solutions. This text serves as an “NMT 101” guide. While introducing our...

. What a present to society that is. If not for google trends, how would we've ever known that more Disney movies released within the 2000s led to fewer divorces within the UK. Or that drinking...

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...

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...

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...

confusing questions in tech straight away is: Each are six-figure jobs, but when you select the flawed one, you can waste months of your profession learning the flawed skills and miss out on quality...