Mean normalization is the process of calculating and subtracting the mean for every feature in a machine learning model and is used in feature scaling. Learn how it works.
The derivative of the sigmoid function is the sigmoid function multiplied by one minus the sigmoid function and is used in backpropagation. Learn how to calculate it.
Hidden Markov models are probabilistic frameworks where the observed data are modeled as a series of outputs generated by one of several internal, hidden states. Learn more.
Retrieval augmented generation systems improve LLM responses by extracting semantically relevant information from a database to add context to the user input. Here’s how to build your own.
As artificial intelligence and machine learning become more common in cyber attacks, the technologies will also have a larger role to play in hardening defenses.
