Trees are non-linear data structures that store data hierarchically and are made up of nodes connected by edges. Here’s how to implement it in Python using bigtree.
The Gale-Shapley algorithm is a deferred acceptance algorithm used in matching theory to solve the Stable Marriage Problem. Here’s how it works and how to apply it in Python.
Backpropagation is the neural network training process of feeding error rates back through a neural network to make it more accurate. Here’s what you need to know.
A Markov chain is a stochastic model that outlines the probability of a sequence of events occurring based on the previous event. Here’s what you need to know.
