Overview
This four-week course will cover a complete workflow of data collection, feature extraction, machine learning model building, validation, prediction, and evaluation of hurricane forecast models. It will provide hands-on training in processing satellite data and organizing data for operational hurricane forecasting. The instructor will introduce methods for feature extraction and data dimensionality reduction and multiple machine learning techniques.
Highlights
Who Should Take
Beginner and intermediate software developers, research fellows, students in data science and machine learning
Overall Learning Outcomes
A web-based real-time forecasting system
Knowledge of operational hurricane intensity forecast modelling
Exposure to the workflow of building predictive models using machine learning
Hands-on experience with spatiotemporal varying satellite data
Real-world impacts on improving hurricane forecasting and benefiting society
Curriculum Modules
- Week 1: Data Collection and Feature Extraction
- Week 2: Machine Learning Algorithms and Model Building
- Week 3: Implementation and Solution Creation
- Turning business problems to data science problems
- Week 4: Innovative Techniques and Methods