4 Ways Big Data & Machine Learning Help Conservation Big Cloud Recruitment

The interdisciplinary field of computational sustainability is using machine learning algorithms to analyse and extract valuable insights from sets of Big Data gathered from environmental fields. It's not just about having large data sets or advanced pattern finding algorithms – it's how we use them. The following projects highlight how Machine Learning and Big Data are helping conservation efforts of all kinds. The ambitious Earthcube project has been in development the past five years and aims to produce a living 3D replica of Earth to serve scientists of different disciplines. It has been built upon interconnected projects that use computer science, big data, and geoscience among various other branches of learning.