The first episode of this technical series is on WildlifeInsights.org, which is an amazing free web app that anyone with an internet connection can use to search or upload photos to a global wildlife database to train machine learning models that auto-classify photos of animals taken by research cameras. In this vein, my peers and I designed a getting started sample for building an animal classifier on Google Cloud.
Our second episode was on GlobalFishingWatch.org, another beautiful machine learning project that helps track vessels from illegal, unreported, and unregulated fishing. Our beginner sample teaches you the data transformations performed and the model creation process for building a time-series classification. It uses GPS vessel data and manually labeled data to predict whether or not a vessel is fishing based on their distance from shore, direction, lat/long, speed, etc. 2b1af7f3a8