Computational Theory for Al

Catalog description

This course covers the mathematical foundations of artificial intelligence, focusing on applied matrix theory using TensorFlow, optimization via gradient algorithms, and Bayesian methods for pattern recognition and decision-making. Students will learn to implement and optimize AI models, applying these techniques to real-world problems in AI. (CSU/UC)