Mathematics of Machine Learning and Industrial Applications I. 2 credits

Catalog description

Basic mathematical optimization and probability theory in the context of classical learning and gradient based methods including neural networks used in artificial intelligence (AI). Incorporates modern tools such as Python, shell tools, and version control. Includes industrial applications in satellite imagery, physics, biology and engineering. Computational and analytic assignments are given. Offered by Mathematics . Limited to three attempts.