DE is hard and often requires for ad-hoc code changes to deal with the idiosyncrasies of the specific dataset. LLMs could offer a big help in assisting and eventually automating these tasks. The big players to watch out for are those with established low-code DE solutions, especially those already intimate with ML such as anomalo.
I’ve heard some valid criticism of blockchain tech: it is a very inefficient database, there’s nothing substantially new people are doing with it, DeFi is self-referential. All of these have some truth in them. On top of this the industry is over-hyped and inundated by startups with millions in funding and flashy websites with a …
If you take away the hype, blockchains remain mega-cool Read More »
Topic Modeling is an unsupervised learning procedure similar to clustering. In this post I give a brief overview of Topic Modeling, present my library transformertopic and apply it to scraped news about COVID
Topic Modeling is an unsupervised learning procedure similar to clustering. In this post I give a brief overview of Topic Modeling, present my library transformertopic and apply it to scraped news about COVID
I was planning to add profile pictures to my now defunct social-app for musicians Riff on That and I wanted to offer a randomly generated picture as a default option. I had a look around for existing solutions in python and couldn’t find anything to my liking, so I came up with randimage. This is …
Easily create cool random images in python with randimage Read More »
Two learning paradigms The traditional paradigm for learning is how all Schools and Universities work: at the outset you define a step by step program and you follow it linearly. Each chunk of the learning builds on the previous and you are guaranteed that, if you follow it diligently until the end, in general you …
