Machine Learning Models in Geodetic Data Science
Geodetic disciplines, such as navigation, engineering geodesy, photogrammetry and remote sensing employ machine learning algorithms for object tracking, clustering and segmentation of 3d point clouds, or predicting uncertainties of geodetic processes. This course will introduce you to the principles and algorithms that allow you to use training data to effectively make automated predictions based on data science techniques.
Module Contents
- Introduction to machine Learning
- Linear and nonlinear classification algorithms
- Multiple linear and nonlinear regression
- Regularization techniques in regression models (Ridge and LASSO regression)
- Probabilistic based machine learning algorithms (Bayesian regression and Monte Carlo techniques)
- Tree-based machine learning algorithms (random forest and XG Boost)
- Neural networks
Lecturer
PD Dr.-Ing. Hamza Alkhatib
Senior Research Staff
Phone
Fax
Address
Nienburger Straße 1-4
30167 Hannover
30167 Hannover
Building
Room
PD Dr.-Ing. Hamza Alkhatib
Senior Research Staff
Exercise
Frederic Hake, M. Sc.
Research Staff
Phone
Fax
Email
Address
Nienburger Straße 1-4
30167 Hannover
30167 Hannover
Building
Room
Frederic Hake, M. Sc.
Research Staff
