Quantinar - A P2P Knowledge Platform
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Quantinar - A P2P Knowledge Platform
Quantinar.com is a P2P knowledge exchange and education platform on Smart Data Analytics, Machine Learning, Finance, AI, Blockchain, etc.,. It is designed to spread quantitative analysis tools via vertical integration of slides, code and Quantlets (code). It was founded by Wolfgang Karl Härdle, with the intention to support Open Science across disciplines.
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- 0 Rating
- 0 Reviews
- 139 Students Enrolled
Requirements
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General Overview
Description
Living in the Information Age, the power of data and correct statistical analysis has never been more prevalent. Academics, practitioners and many other professionals nowadays require an accurate application of quantitative methods. Though many branches are subject to a crisis of integrity, which is shown in improper use of statistical models, $p$-hacking, HARKing or failure to replicate results. We propose the use of a peer-to-peer education network, Quantinar, to spread quantitative analysis knowledge embedded with code in the form of Quantlets. The integration of blockchain technology makes Quantinar a decentralised autonomous organisation (DAO) that ensures fully transparent and reproducible scientific research.
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Meet the instructors !
Raul Cristian Bâg and is a PhD student at HU Berlin. His general research interests are Machine Learning, MLOps, Research Transparency and Reproducibility and Decentralised Finance. He currently has the role of Teaching Assistant at the Faculty of Business Administration in foreign languages where he will be teaching seminars that include a range of subjects from Statistics and Data Analytics to Blockchain. Currently, he also works part time as a senior cloud engineer at a private corporate company. This helps him keep in touch with the latest industry trends and technologies.