Category: Machine Learning

  • ML Concepts: Words Embedding

    Intro I keep going with the motivation of my upcoming small/simple session about ML and Cybersecurity. Last time I discussed an unsupervised clustering algorithm. We used multi-dimensional points (coordinates) in space. But what if our data is text? That’s common in “general”, but also in Cybersecurity. So the question becomes: Can we treat “text” as…

  • ML Concepts: Unsupervised Learning – Clustering – DBScan

    Intro So as I keep working on an upcoming presentation I shall give in a few weeks, I thought I’d prepare something a bit more “live” than just a PPT with Memes (although who doesn’t like a few Memes in a PPT?). My current idea is to talk about some “Machine Learning Key Concepts”, and…

  • Testing LLMs locally on basic Apple Silicon

    Intro Fair enough, I keep criticizing the GenAI hype. But in order to criticize something, I guess I believe I have to have SOME kind of understanding of what happens (silly me I guess for thinking like that). After brushing up on AI these past few weeks, mostly through readings, including what others might consider…