This Lummetry.AI public repository for the 2020 Stanford XCS229i workshop. Lummetry.AI (Knowledge Investment Group SRL) team workshop participation is sponsored through grant no 9/221_ap2/23.12.2019/SMIS-129090 for the project "SEER - Electronic System for the automated evaluation and feedback of business scenarios based on predictive analytics and Artificial Intelligence" under the financing programme Competitiveness Operational Program (COP) Action 2.2.1 - "Supporting the growth of added value generated by the ICT sector and innovation in the field through the development of clusters" co-financed by the European Regional Development Fund
The following content is made available under Open Software License ("OSL") v 3.0 and is mainly the creation of the Lummetry.AI team consisting of Andrei Ionut Damian and Laurentiu Gheorghe Piciu. No proprietary content of Stanford University or Stanford Center of Professional Development (SCPD) has been made public
- 2020-05-01 - Created the plan for the public dissemination of results that do not infrige any copyright regulation of the XCS229 workshop
- 2020-07-19 - Published (Open Source v3 license) the initial commit of the repo
- 2020-07-19 - Added first basic examples for regression models (Demo #1)
- 2020-08-14 - Demo #2 is in preparation and contains a comparison and minimal discussion between discriminative and generative models in the context of low availability of data