Course Objectives
- The aim of this course is to teach necessary mathematical skills in order to understand machine learning algorithms
- Moreover, the second aim is to teach mathematics to be able to implement machine learning models.
Topics
- Importance of mathematics in machine learning
- Linear Algebra
- Eigenvector and eigenvalues
- Matrix decomposition
- Vector Calculus
- Probability and distributions
- Optimization
- Learn parameters of linear regression with optimization
- Dimension reduction with principal component analysis
- Density Estimation with Gaussian mixture models
- Classification with support vector machines
