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: |
|
| 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.
