Glossary

The Bias-Variance Tradeoff (ML) refers to balancing a model’s complexity or adaptability (variance) and its presuppositions regarding data (bias).

Big Data in AI refers to the vast amounts of structured and unstructured data necessary for training machine learning models, leading to better predictive accuracy.

Big O Notation is a mathematical concept used to gauge the efficiency or complexity of algorithms. It estimates the maximum number of operations needed as the input size increases, helping in analyzing algorithm performance.