i4GEO-900 - 09. (MAR. 14) - Machine Learning for Geospatial Data
Course Description
The i4Geo Geospatial Science & Technology Series is a dynamic, hands-on workshop series designed to provide participants with advanced skills and practical knowledge across a broad spectrum of geospatial analyses and applications. All modules can be taken in a ‘watch and learn’ style, however some also offer the option to bring your own laptop and follow along with exercises, provided necessary software and files are preloaded.
The Machine Learning for Geospatial Data workshop is part of the i4Geo Geospatial Science & Technology Series, designed to introduce participants to the principles of machine learning and its transformative applications in geospatial science. This hands-on workshop bridges the gap between machine learning theory and practical geospatial applications, empowering participants to integrate cutting-edge analytical techniques with geospatial data.
Course Outline
The following topics will be presented and discussed:
- Introduction to Machine Learning Theory
- Overview of Remote Sensing and Its Integration with Machine Learning
- Hands-On Demonstration: Machine Learning Framework for GIS Applications
Learner Outcomes
Participants will gain an understanding of machine learning concepts, explore its integration with remote sensing technologies, and work through a real-world demonstration of a machine learning framework tailored for GIS-based problem-solving.
This course is ideal for professionals, researchers, and students seeking to enhance their technical capabilities in geospatial analysis using machine learning.