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BathEMADE: Evolutionary Multi- objective Algorithm Design Engine for Bathymetric LIDAR Jason Zutty Rodd Talebi James Rick Christopher Valenta Domenic Carr 1 Gregory Rohling 2 How is a Machine Learning Algorithm Made? • Involves a number of steps Data Feature Model Model Parameter Model Raw Data Preparation Engineering Selection & Evaluation Optimization Deployment Training 2 3 How is a Machine Learning Algorithm Made? • Involves a number of steps Data Feature Model Model Parameter Model Raw Data Preparation Engineering Selection & Evaluation Optimization Deployment Training • Each step represents a choice of one method from a large library of options • Each choice has a number of parameters that affect the performance • Overall this is a time consuming, iterative, and labor intensive process 3 4 How is a Machine Learning Algorithm Made? • Involves a number of steps Data Feature Model Model Parameter Model Raw Data Preparation Engineering Selection & Evaluation Optimization Deployment Training PCA FFT Wavelet Transform Scaling Recursive Feature Elimination 4
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