machine learning

A store’s assortment is a whole and varied range of products sold to customers. It's subject to evolve based on various aspects corresponding to: economic conditions, consumer trends, profitability, quality or compliance issues, renewal...

In partnership with Good morning. It’s Wednesday, September seventeenth.On today in tech history: In 1988the Morris Worm became the primary major web worm, exploiting buffer overflows and weak password habits. It...

systems, understanding user intent is key especially in the client service domain where I operate. Yet across enterprise teams, intent recognition often happens in silos, each team constructing bespoke pipelines for various products,...

In partnership with Good morning. It’s Monday, September fifteenth.On this present day in tech history: In 2011, PLOS ONE published MultiMiTar, an early machine-learning tool for predicting microRNA targets using feature...

Introduction My previous posts checked out the bog-standard decision tree and the wonder of a random forest. Now, to finish the triplet, I’ll visually explore ! There are a bunch of gradient boosted tree libraries, including...

Introduction the the state-of-the-art architecture for NLP and never only. Modern models like ChatGPT, Llama, and Gemma are based on this architecture introduced in 2017 within the Attention Is All You Need paper from...

You studied economics, then learned to code and moved through product, growth, and now hands-on AI constructing. What perspective does that generalist path provide you with that specialists sometimes miss? I’m undecided.  People see generalists as...

Why will we still wrestle with documents in 2025? in any data-driven organisation, and also you’ll encounter a number of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in...