data science

language models has made many Natural Processing (NLP) tasks appear effortless. Tools like ChatGPT sometimes generate strikingly good responses, leading even seasoned professionals to wonder if some jobs is likely to be handed...

, I discovered myself wondering why some dashboards immediately grabbed my attention, while others just felt flat. A giant a part of that magic is color. As basic because it sounds, it plays a...

In my last article , I threw out a number of ideas centered around constructing structured graphs, mainly focused on descriptive or unsupervised exploration of information through graph structures. Nevertheless, once we use graph...

. Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient for all-pairs comparison at quadratic, n² complexity), matching and even ...

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...

There’s no modality that isn't handled by AI. And AI systems reach even further, planning commercial and marketing campaigns, automating social media postings, … Most of this was unthinkable a mere ten years ago. But...

0. Introduction (SFC) are fascinating mathematical constructs with many practical applications in data science and data engineering. While they might sound abstract, they’re often hiding in plain sight—behind terms like Z-ordering or Liquid Clustering...

To get probably the most out of this tutorial, you need to have already got a solid understanding of how linear regression works and the assumptions behind it. You must also bear in mind...