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Our “Compendium” is one of the ten All Time Top Papers of the SSRN Pharmacology eJournal!

A Compendium of Data Sources for Data Science, Machine Learning, and Artificial Intelligence co-written by our Founder Oleksandr Bilokon, our Chief Scientific Advisor Paul Bilokon and Saeed Amen (Co-Founder of Turnleaf Analytics Ltd and Founder of Cuemacro Ltd) has been listed as one of the ten All Time Top Papers of the SSRN Pharmacology eJournal (at the time of writing, the paper has been downloaded 1,579 times).

Recent advances in data science, machine learning, and artificial intelligence, such as the emergence of large language models (LLMs), are leading to an increasing demand for data that can be processed by such models. While data sources are application-specific, and it is impossible to produce an exhaustive list of such data sources, it seems that a comprehensive, rather than complete, list would still benefit data scientists and machine learning experts of all levels of seniority. The goal of this publication is to provide just such an (inevitably incomplete) list – or compendium – of data sources across multiple areas of applications, including finance and economics, legal (laws and regulations), life sciences (medicine and drug discovery), news sentiment and social media, retail and ecommerce, satellite imagery, and shipping and logistics, and sports.

The Compendium is available on SSRN free of charge:

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