Tag: ML

  • Project Log: Day 17

    It’s been a hell of a week so far. A good one. Now I have the weekend in front of me, and as I’m a bit tired, I’ll slow down a bit. Or maybe next week, instead. Regardless, I need to plan what’s next. Upcoming objectives Applicability 1: In the network security world, sometimes you…

  • Project Log: Day 15

    A short entry to mention the actual observable/understandable progress. So you have a few nodes on a network (with some considerations). You can act on two variables for each of the nodes: Their protection (beta) or their quickness to clear an infection (mu). Improving both parameters for a node reduces the risk of infection for…

  • Optimization (3/n): Simulated Annealing

    Intro Continuing with this simple “series” (see here and here), I implement the next algorithm proposed by the reference book, but in R. This time around, it’s the turn of “Simulated Annealing”. Nice parallel I like how the concept of molecules excitement and temperatures is used for this algorithm. All in all, it’s a bit…