Quick Bites
Bite-sized explanations of AI, math, and engineering concepts. One new bite every day.
Monte Carlo Method 🎲
A computational algorithm that uses random sampling to solve problems that might be deterministic in principle. Like throwing darts at a board to estimate π!
Dec 30, 2024Gradient Descent ⛰️
Optimization technique that finds the minimum of a function by iteratively moving in the direction of steepest descent. Like hiking down a mountain in fog!
Dec 29, 2024Markov Chains ⛓️
Mathematical system where the next state depends only on the current state, not the history. Tomorrow's weather only depends on today's!
Dec 28, 2024Backpropagation 🔄
Algorithm that calculates gradients through chain rule, propagating errors backward through neural network layers. Teaching networks by showing them their mistakes!
Dec 27, 2024Attention Mechanism 👁️
Allows models to focus on relevant parts of input when producing output. Like highlighting important words while reading a sentence!
Dec 26, 2024Q-Learning 🎮
Model-free RL algorithm that learns the value of actions in states. The agent learns by trial and error which actions lead to rewards!
Dec 25, 2024