The Download: Tech Talks by the HPCC Systems Community, Episode 26

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HPCC Systems

About this talk

Join us as we continue this webinar series specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community. Featured topics include the work presented by four of our summer interns: Yash Jain, University of Mumbai: Cluster Deployment with Juju Charm Yash is a student at the University of Mumbai, studying for a Bachelor of Engineering (Computer Engineering). The aim of this project is to write reactive charms using the charm helper framework along with tests in amulet. Akshar Prasad, RVCE: Fraud Detection in Value Based Cards Akshar is a student at the Rashtreeya Vidyalaya College of Engineering (RVCE), studying a BTech in Computer Science whose project entails 'Detection of fraud in stored-value cards by applying CNN and Random Forest machine learning models on transactional data to classify a transaction as “Fraudulent” or “Not fraudulent'. These methods will be compared for efficacy. A Suryanarayanan, RVCE: Evaluation of Machine Learning Algorithms Surya is a student at the Rashtreeya Vidyalaya College of Engineering (RVCE), studying a Bachelor of Engineering (Computer Science). His project involves providing additional evaluation methods for our Machine Learning Library, including running comparisons with existing benchmarks, the addition of new evaluation metrics and enhanced performance checking. Sathvik K R, RVCE: Interfacing Octave with ECL Sathvik is a student at the Rashtreeya Vidyalaya College of Engineering (RVCE), studying a Bachelor of Engineering (Computer Science). The aim of this project is to support Octave by allowing the embedding of Octave database queries within ECL code. This will be done with the help of simple wrapper classes to handle scalar values and structured data, including multi-threaded access from the ECL side.

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