SYS 5180 Mathematics for Artificial Intelligence
3 units
Systems Science
Faculty of Engineering
Mathematical foundations (algebra, statistics) of modern artificial intelligence applicable to machine learning, deep learning, vision, natural language and speech processing. Eigenvectors and Eigenvalues. Single Value Decomposition. Principal Component Analysis. Vector/Matrix Calculus. Gradient Algorithms. Common Distributions. Maximum Likelihood Estimation. Entropy and Cross Entropy. Kullback Leibler Divergence. Viterbi Algorithm.
Components:
Lecture
Previously Offered Terms:
Winter
Organized
12 responses
4.83
/ 5
Clear Expectations
12 responses
4.83
/ 5
Learned a Lot
12 responses
4.58
/ 5
Fair Assessments
12 responses