Glossary

Principal Component Analysis (PCA) is an essential statistical procedure to convert multivariate data into a lower number of dimensions while keeping vital data intact.

The principle of rationality is a key concept in AI, advising agents to base decisions on logic, evidence, and objectives for rational choices, mitigating biases and randomness.

Probabilistic programming is a unique merge of traditional coding with probabilistic modeling. It automates the inferencing process in models and effectively addresses uncertainty, making it vital for decision-making in unpredictable scenarios.