Machine Learning is basically the study of techniques and algorithms designed to learn from data. The data could come from various sources or could be in different formats. In the current course our focus will be on data in the remote sensing and computer vision fields i.e. color images, hyper and multi spectral images, 3D point clouds etc. This course will build up from the introductory topics like k-means clustering, Principal Component Analysis and Maximum Likelihood Estimation and cover the advanced topics like Neural Networks, Deep Learning and Support Vector Machines in detail.
Knowledge of Linear Algebra (Matrices, Vectors and Transformations), Calculus (differentiation) and Statistics (distributions, variances) is required. Practical exercises will be done in Matlab.
- Teacher: Dr. Sajid Ghuffar