Presenting the Climate and Sustainability Hackathon with Cloudera and AMD! Go solo or team up with your fellow data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. Participants will be given access to Cloudera Machine Learning running on AMD hardware to enable swift, powerful computations and breakthrough innovations. This unique pairing harnesses the best of software and silicon, giving you an unparalleled experience in crafting climate and sustainability solutions. At the Climate and Sustainability Solutions Hackathon, every line of code contributes to a brighter, more resilient tomorrow. Join us and be part of the change!
For this Hackathon, you are tasked with creating your own unique Applied ML Prototype (AMP) focused on solving or gaining further insight into a climate or sustainability challenge. You will be required to use only open source data for this project, as all AMPs rely solely on open source technology and datasets.
Cloudera’s Applied Machine Learning Prototypes are fully built end-to-end data science solutions that can be deployed with a single click directly from Cloudera Machine Learning, or accessed and built yourself via public GitHub repositories. AMPs enable data scientists to go from an idea to a fully working ML use case in a fraction of the time. It provides an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly.
Like any other AMP, your project should serve as an example to other data scientists for the best way to approach solving a problem with ML methodologies. Your project in its final state must be an end-to-end solution, with code to ingest data, wrangle that data, train and validate a model, deploy the model with an endpoint, and communicate the results of the model via an interactive web application.