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#53 Data Science, Gambling and Bookmaking

#53 Data Science, Gambling and Bookmaking

FromDataFramed


#53 Data Science, Gambling and Bookmaking

FromDataFramed

ratings:
Length:
54 minutes
Released:
Feb 18, 2019
Format:
Podcast episode

Description

This week, Hugo speaks with Marco Blume, Trading Director at Pinnacle Sports. Marco and Hugo will talk about the role of data science in large-scale bets and bookmaking, how Marco is training an army of data scientists and much more. At Pinnacle, Marco uses tight risk-management built on cutting-edge models to provide bets not only on sports but on questions such as who will be the next pope? Who will be the world hot dog eating champion, who will land on mars first and who will be on the iron throne at the end of game of thrones. They’ll discuss the relations between risk management and uncertainty, how great forecasters are necessarily good at updating their predictions in the light of new data and evidence, how you can model this using Bayesian inference and the future of biometric sensing in sports betting. And, as always, much, much more.LINKS FROM THE SHOWDATAFRAMED GUEST SUGGESTIONSDataFramed Guest Suggestions (who do you want to hear on DataFramed?)FROM THE INTERVIEWPinnacle WebsiteTraining an army of new data scientists (Presentation by Marco Blume)FROM THE SEGMENTSData Science Best Practices (with Ben Skrainka ~16:40)Python Debugging With Pdb (By Nathan Jennings)pdb Tutorial (Github)The Visual Python Debugger for Jupyter Notebooks You’ve Always Wanted (By David Taieb)Debugging with RStudio (By Jonathan McPherson)Basics of DebuggingStatistical Distributions and their Stories (with Justin Bois at ~36:00)Justin's Website at CaltechProbability distributions and their stories (By Justin Bois)Original music and sounds by The Sticks.
Released:
Feb 18, 2019
Format:
Podcast episode

Titles in the series (100)

Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommendation systems and climate change, come on a journey with experts from industry and academia to explore the industry that will change the course of the 21st century.