Data Science Gambling

7/24/2022 admin

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

Data Science Gambling Definition
Data Science Online Gambling
Data Science Gaming

Yes, we talk about someone who found a strategy to win at Gambling. Yes, we weren’t those people. In those show we talk about the following: Jordy hits a student loan milestone. April 15th is around the corner and we talk about our tax situation; tax man always gets their share. In light for all of these bills, we discuss gambling.
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.
The authors discuss the use of data science and machine learning to analyze behavioural tracking data. Studies have reported a range of behavioural markers of problem gambling. These include both monetary markers (e.g., bet size) and non-monetary markers (e.g., number of days gambled).
Going into Data Science / Machine Learning gambling? As stated here, there seems to be a lot of hype surrounding DS/ML. I myself happen to have the most 'experience' in this area, and interestingly enough it's not even from my actual university classes (I'm a CS major entering my final year of undergrad); it's from MOOC's.

Genre: Science

'A trio of data scientists developed a betting strategy to beat bookmakers at football games,' writes austro. The game Americans call soccer. New Scientist reports: The team studied 10 years' worth of data on nearly half a million football matches and the associated odds offered by 32 bookmakers between January 2005 and June 2015.

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

@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

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How to Use George’s Football Club Ratings for Predicting Football Matches [Excel-Guide]

Predicting football matches yourself is a good method for developing a value betting strategy. However, it can be challenging to figure out how to correctly predict football matches. Many articles …

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