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.
A neural network is a series of algorithms that identifies patterns and relationships in data, similar to the way the brain operates. Here's how they work.
Selenium is a Python library that’s used for automating web browsers to accomplish tasks like web scraping. Here’s how to do it with an example and code.
