DataFramed

[Note: DataFramed is currently on a short hiatus, but we plan to bring it back during Summer, 2019.] 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.

https://www.datacamp.com/community/podcast

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episode 53: #53 Data Science, Gambling and Bookmaking


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 SUGGESTIONS

  • DataFramed Guest Suggestions (who do you want to hear on DataFramed?)
FROM THE INTERVIEW
  • Pinnacle Website
  • Training 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 Debugging
Statistical Distributions and their Stories (with Justin Bois at ~36:00)
  • Justin's Website at Caltech
  • Probability distributions and their stories (By Justin Bois)

Original music and sounds by The Sticks.


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 2019-02-18  54m