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Welcome to the Earth Data Science and Machine Learning Course Series

Introduction

What is machine learning?
Machine Learning for Climate and Environmental Sustainability
Computing Environment for Class

Data Preprocessing and Feature Engineering

Data Exploration and Data Pre-Processing
Tutorial on Data Preprocessing (US Wildfires)
Assignment 1: Data Pre-Processing of Historical Tropical Cyclone Records

Introduction to Supervised Machine Learning

Supervised Machine Learning
Decision Trees and Random Forests (Wildfire cause prediction)
Assignment 2: Predicting Health Impacts from Air Quality Factors

Unsupervised Machine Learning

Unsupervised Machine Learning
Dimensionality Reduction
Assignment 3: Using Unsupervised Machine Learning to Discover Climate Zones

Introduction to Deep Learning

Artificial Neural Networks (ANN)
Tutorial on Global Temperature Trends with Deep Learning
Assignment 4: Flood Risk Prediction with Neural Network Regression
Recurrent Neural Networks (RNN’s) for Time Series Prediction

Advanced Topics

Introduction to physics-informed machine learning

Repository
Open issue

Index

By Kara Lamb & Dhruv Balwada

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