Data Science Gambling
Griffiths also touched upon how behavioural tracking data is more reliable than self-report data. For example, a number of surveys claimed that online gambling had increased during the lockdowns. However, research using data from a gambling operator showed that there had been a significant decline in gambling during the period. Summary Data science has considerable potential to identify high-risk online gambling, informed by principles of behavioral analysis. Identification may enable targeting of interventions to users. 20.1 Introduction. Most people hate mathematics but love gambling. Which of course, is strange because gambling is driven mostly by math. Think of any type of gambling and no doubt there will be maths involved: Horse-track betting, sports betting, blackjack, poker, roulette, stocks, etc.
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.This is the DataCamp podcast link and check it out for the show notes and other goodies: https://www.datacamp.com/community/podcast/data-science-gambling-bookmaking?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_53
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- Science
Comment by Sushrut
51:03 Now we know Bran Stark is the one!!
Comment by Kareem Alaraby
did Justin record those segments about distribution's storie's ? if so can you provide a link ?
Comment by DataFramed
Data Science Gambling Games
@crist-bal-j-correa-r: Hey, we suggest taking our intro courses depending on what language you prefer. Intro to SQL(https://www.datacamp.com/courses/intro-to-sql-for-data-science), our Tidyverse Fundamentals with R Track(https://www.datacamp.com/tracks/tidyverse-fundamentals), and finally for Python, our Introduction to Data Science in Python course(https://www.datacamp.com/courses/introduction-to-data-science-in-python).
Comment by correacristobal
Hey! Thank you for sharing this. I've been a DC member for over three years now and still haven't taken any course, but I've been working in the gambling industry for longer and this podcast inspired me to start learning. Where would you say a non-programmer should start if they're looking to learn all of this? From 0 to building a proper data lake house to pull several live datapoints and have them analyzed and weighed? :D
Data Science Sports Betting
The global online gambling market is anticipated to be valued at more than $94 billion in 2024, and increasing use of more advanced data science, machine learning, and AI techniques to improve the online gambling experience will most certainly play a role in this market growth.
In fact, one of the industry’s biggest challenges could be what to do with all of the masses of data at their disposal and whether they can turn all of that data into actual business value. Unlike traditional sales use cases, data science in online gambling means not only personalization and anticipation of individual behavior, but also taking into account the uncertainty surrounding any action the user takes. We spoke with Bertrand Warot, Data Science Manager at French online gambling company Betclic, about how they are rising to these challenges.