Category: Machine Learning

  • Optimization (2/n): Gradient Descent

    Intro So I keep going with the reference book for a while. BTW, the book can be found here (NOT a referral or anything, I don’t make money out of this, it’s just a pointer to one place you can find it). And yes, the book is in Spanish… So one of the first algorithms…

  • Summer fun: Testing Optimization Algorithms (1/n)

    Intro I have some more spare time for the upcoming few weeks, and I haven’t had the opportunity to take the “Metaheuristics” course in the Master, and so I feel I’m missing out a bit… But then, what precludes me from learning on my own? So I came across a book (I spend a bit…

  • Simulation: Monte-Carlo & Input Distributions (1/n)

    Intro First, let me say, I know, it’s been a while. And that’s alright. I have plenty of good excuses 🙂 Now that doesn’t mean I should completely forget about this my little Blog. OK, so, for today: I’ve been studying Operations Research for about 3 months now, and we’re getting (in the Master course)…