Glossary

Stochastic Optimization is fundamental in AI and machine learning, using random steps in algorithmic adjustments to find solutions efficiently in complex optimization problems.

Stephen Wolfram is a prominent computer scientist and businessman, renowned globally for his significant contributions in theoretical particle physics, complexity theory, and computer algebra.

Statistical Representation Learning is a sophisticated machine learning process used for automatic discovery of relevant representations for effective data classification or feature detection.

Stochastic Semantic Analysis is a key Natural Language Processing practice, employing statistical methods fused with linguistic knowledge for detail-rich text data understanding for tasks like sentiment analysis or machine translation.

Stop Words are widely used terms in a language, often eliminated during text processing. They hold minimal significant data for specific tasks and help in SEO.

Stephen Cole Kleene is renowned for his exemplary work in algorithms and recursive functions, two key areas in the field of mathematics and logic.