random forest

Serverless Distributed Decision Forests with AWS Lambda

Within the Wise.io team in GE Digital, we have monthly "edu-hackdays" where the entire tech team spends the entire day trying to learn and implement new promising approaches to some portion of our machine-learning based workflow. In the past, we worked on algorithm hacks and on methods for distributed featurization. Some of what we start those days eventually go into production, but most does not. The main goal (apart from the team building that comes with the fun and pain of all-day hacks) is to create collective knowledge and experience around important components of our stack. Recently we had an edu-hackday on strategies for distributed learning. This post captures (and hopefully provides some motivation for) the work I did at that hackday in April.