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EVENT DETAILS |
About This Event
Dataiku & General Assembly will be hosting two talks, focusing on Blockchain Technologies.
Tentative Schedule:
6:30pm: Pizza + Beer
7:00pm: TBD by Data Scientist at Dataiku
7:30pm: Blockchain Technologies: An Intuitive Introduction for Data Scientists by Bruno Goncalves, Senior Data Scientist at JPMorgan Chase
Talk Abstracts Blockchain Technologies: An Intuitive Introduction for Data Scientists by Bruno Goncalves, Senior Data Scientist at JPMorgan Chase : Bitcoin has brought about a true revolution in how we think about money. In one fell stroke it solved the main problems that afflicted previous attempts at a truly digital currency: distributed consensus, double spending, & external attacks. Perhaps more importantly, it provided the first working version of a blockchain or distributed ledger. However, despite their relative simplicity, the underlying concepts on which these technologies are built are not well known & often obscured by hype & technical jargon.
Since the days of Bitcoin's founding, many other crypto-currencies have been proposed & released. This tutorial will introduce these technologies in an intuitive way for data scientists, explaining their driving algorithms & motivations, as well as how to implement them in their own data science efforts.
The tutorial will particularly focus on Ethereum, a particularly interesting & promising technology that allows even for self enforcing smart contracts that constitute a distributed computational framework that may be used for the creation of decentralized applications by third party developers. Recent developments & proposals such as SegWit, Lightning Network will also be covered.
Bruno Goncalves is currently a Senior Data Scientist while on leave from a tenured faculty position at Aix-Marseille Universit. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science & Machine Learning to study Human Behavior. Using large datasets from Twitter, Wikipedia, web access logs, & Yahoo! Meme he studied how we can observe both large scale & individual human behavior in an obtrusive & widespread manner. The main applications have been to the study of Computational Linguistics, Information Diffusion, Behavioral Change & Epidemic Spreading. He is the author of 60+ publications with over 7300+ Google Scholar citations & an h-index of 30. In 2015 he was awarded the Complex Systems Society's 2015 Junior Scientific Award for "outstanding contributions in Complex Systems Science" & in 2018 was named a Scientific Fellow of the Foundation for Scientific Interchange in Turin, Italy. He is also the editor of the book Social Phenomena: From Data Analysis to Models (Springer, 2015).
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