Tag: machine learning

models isn’t just about submitting data to the backpropagation algorithm. Often, the key factor determining the success or failure of a ...

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore another ...

, a little optimisation goes a long way. Models like GPT4 cost more than $100 millions to train, which makes ...

The of this article is to explain that, in predictive settings, imputations must always be estimated on the training set ...

A four-legged robot that keeps crawling even after all four of its legs have been hacked off with a chainsaw ...

days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are ...

Disclosure: I work at Carrefour. The views expressed in this article are my own. The data and examples presented are ...

systems, understanding user intent is fundamental especially in the customer service domain where I operate. Yet across enterprise teams, intent ...

Introduction My previous posts looked at the bog-standard decision tree and the wonder of a random forest. Now, to complete ...

Why do we still wrestle with documents in 2025? in any data-driven organisation, and you’ll encounter a host of PDFs, Word ...