About This workshop
This hands-on workshop in Biloxi will equip participants with practical skills in applying machine learning to real-world marine ecological challenges. You'll explore techniques for analyzing sonar data, satellite imagery, and environmental sensor outputs to identify patterns and predict changes in Gulf Coast ecosystems. We'll cover data acquisition best practices, feature engineering, and the implementation of classification and regression models using Python libraries like scikit-learn and TensorFlow. Ideal for environmental scientists, data enthusiasts, and conservationists looking to leverage AI for impactful research and preservation efforts in Mississippi's unique coastal environment.
