Glossary

Binary Classification is a vital concept within machine learning, aimed at categorizing given observations into one of two possible classes. This supervised learning approach is an essential tool for numerous applications in the data-driven world.

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.

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.