The latest in our series of white-papers, here we take Heimdall for a spin creating a loan propensity model with only 100 loans. We open the bonnet and explain the inner workings of our Explainable (XAI) machine learning platform and show some examples of our Magic Donut™
Yellow Submarine are delighted to announce they are now partners with Telefónica. Telefónica, S.A. is a Spanish multinational telecommunications company headquartered in Madrid, Spain. It is one of the largest telephone operators and mobile network providers in the world. Yellow Submarine together with Telefonica will be delivering its IoT Hardware evaluation kit bundled with Yellow Submarine’s Machine Learning Platform for OEM’s.
For smaller retailers that don’t have lots of data scientists with the skills to use low level command line tools, or for larger retailers where management or non data scientists want to quickly upload a flat csv to model builder.
Our Fire Risk Prediction model uses time series location data (LSOA). Predictive models can give insights into demographics, identifying those most at risk, propensity in certain locations which can give a better idea of distribution of resources. We help you build your proprietary models, but our platform is intended to be self service and not require a data scientist.
To coincide with 5G World and London Technology Week, Yellow Submarine announce availability of their IoT Hardware evaluation kit bundled with Yellow Submarine’s Machine Learning Platform for OEM’s for £4732 ($5995).