Sports Analytics Weekly by kubeia.io - 45/2024
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đź“ť Sports Analytics
The Red Sox are hiring
columbia.edu - Jonah Gabry
Here’s another job opportunity for baseball enthusiasts and Stan users! The Boston Red Sox are building out their R&D group and are currently hiring for the position of Senior Analyst, Baseball Analytics.
2024 Hudl Statsbomb Conference: Research Posters
statsbomb.com
The 2024 Hudl Statsbomb Conference was held at Old Trafford, Manchester just over a month ago. As part of the event, we invited the winners of our Research Competition to showcase their work to an audience of industry experts and professionals.We received numerous submissions, and the quality of the proposals was incredibly high, making the selection process quite challenging. In order to recognise all of the best entries, we also invited several proposals to put their findings into research posters. These displays provided a platform for researchers to showcase and discuss their work with the conference attendees.Additionally, we created several posters displaying the latest research from some of our very own analysts. We are excited to offer you a closer look at this work, covering a wide range of topics such as team tactics, large language models, player evaluation, and more.
🤖 Machine Learning
Why the deep learning boom caught almost everyone by surprise
understandingai.org - Timothy B Lee
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester there was a lecture about neural networks. This was in the fall of 2008, and I got the distinct impression—both from that lecture and the textbook—that neural networks had become a backwater.
🧮 Statistics
Lognormal Distribution: Neither Thin- nor Fat-Tailed
quantatrisk.com - Pawel Lachowicz
In probability and statistics, distributions are often classified as either “thin-tailed” or “fat-tailed,” a distinction that reflects the likelihood of extreme deviations from the mean. The lognormal distribution, however, defies this binary classification. It possesses characteristics that make it neither fully thin-tailed, as in the case of the Gaussian, nor entirely fat-tailed, like the Pareto. This intermediate nature positions the lognormal uniquely in statistical modeling, especially in financial risk analysis and natural sciences.
🌩 Forecasting
How Is AI Changing the Science of Prediction?
quantamagazine.org
With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.