Academic Catalog

IAM772 FUNDAMENTALS OF MACHINE LEARNING ALGORITHMS

Course Code: 9700772
METU Credit (Theoretical-Laboratory hours/week): 3(3-0)
ECTS Credit: 8.0
Department: Institute Of Applied Mathematics
Language of Instruction: English
Level of Study: Graduate
Course Coordinator: Prof.Dr. ÖMÜR UÐUR
Offered Semester: Fall and Spring Semesters.

Course Content

Matrix Decompositions: eigendecomposition and diagonalization. singular value decomposition. matrix approximations; Vector Calculus: gradients. backpropagation. automatic differentiation; Continuous Optimization: gradient descent. constraint optimization and Lagrange multipliers. convex optimization; Probability and Distributions: Bayes theorem. discrete probabilities. Gaussian distribution; Data. Models. and Learning: model selection; Linear Regression: orthogonal projection; Dimensionality Reduction with Principal Component Analysis; Classification with Support Vector Machines; Decision Trees; Neural Networks. Machine Learning Applications: dynamical systems. data mining.