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| Date of the event | September 12 - 15, 2018 |
| Location | Marietta Campus, J/Atrium Building |
| Cost | Free |
| Eligibility | This event is open to all KSU CCSE students (ACS, BASIT, IT, CS, SWE, and CGDD) who have passed their first few programming courses. Graduate students who have exempted all transitional courses or have passed at least three 5000 transition courses are also eligible. |
| Registration | More information about the event |
| HPCC Systems Hackathon Team | Machine Learning for Big Data Analytics on HPCC Systems Are you interested in how analytics can identify trends which help businesses from a wide range of markets improve their decision making? Join our team and learn how to use the open source HPCC Systems platform and ECL-ML machine learning libraries, to build predictive models in the fields of insurance, health care, finance, security and other vertical markets. |
| Challenge | Reconciliation, Fraud, Compliance & Analytics as a service is fast becoming a critical function in the Fin Techindustry. While many have previously tried to build homegrown solutions, few have been successful for various reasons. The DataSeers appliance provides a unique solution of accomplishing this. In the future, we would want DataSeers customers to not only know “what happened”, we also want them to know “if it will happen” or “when will it happen”. As part of the Hackathon experience, you will be provided with anonymized datasets of real transactional data, from which you will have to derive predictions around customer behavior. Video about this challenge coming soon. |
| Data Source | TBA |
| General Instructions |
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| Rating Criteria |
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| Mentors available during the Hackathon | The following mentors will be on site for the duration of the event: Dan Camper, Arjuna Chala and Richard Taylor. The following mentors will be available to give assistance remotely: Roger Dev. |
| Slack Channel | https://ksuccsehackathon.slack.com/ |
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