Glossary

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

Stochastic Gradient Descent (SGD) is a prime algorithm in machine learning and deep learning for optimizing model parameters, enhancing fit between predicted and actual data.

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