Sports Analytics Weekly by kubeia.io - 46/2023
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⚽ Sports
Football, Finance and Fans in the European Big Five
winningwithanalytics.com - Bill Gerrard
Divergent revenue growth paths in the Big Five European football leagues since 1996 has more than doubled the inequality in the financial strength of these leagues.The financial dominance of the EPL is based on growing gate attendances, increasing value of media rights and high marketing efficiency.The financial dominance of the EPL puts it at a massive advantage in attracting the best sporting talent.The pandemic highlighted the precarious financial position of the French and Italian leagues due to high wage-revenue ratios and consequent operating lossesThe financial regulation of the Bundesliga clubs put them in a much stronger position to cope with loss of revenues during the pandemic.
VAR audio released from goal
reddit.com - Chelseatilidie
Newcastle vs Arsenal game. See also https://www.reddit.com/r/soccer/s/CAHrEhVm5M
📝 Sports Analytics
Who is the best team in the NFL?
medium.com - Dennis Ganzaroli
A data-driven journey to reveal the true leaders on the gridiron and evaluate NFL Teams with Logistic Regression in the open-source KNIME Analytics Platform
👁️ Computer Vision
futvis
futvis.com
Generate soccer video analysis from your match videosWe provide soccer enthusiasts, coaches, and players with a new level of video analysis from their match videos.
🤖 Machine Learning
Dive into Deep Learning
d2l.ai - Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola
Interactive deep learning book with code, math, and discussions Implemented with PyTorch, NumPy/MXNet, JAX, and TensorFlowAdopted at 500 universities from 70 countries
💻 Hardware
Nvidia (NVDA) Updates AI Processor as Rivals Challenge Dominance
bloomberg.com - Ian King
Nvidia Corp., the world’s most valuable chipmaker, is updating its H100 artificial intelligence processor, adding more capabilities to a product that has fueled its dominance in the AI computing market.
Microsoft Infrastructure - AI
semianalysis.com - Dylan Patel and Myron Xie
Microsoft is currently conducting the largest infrastructure buildout that humanity has ever seen. While that may seem like hyperbole, look at the annual spend of mega projects such as nationwide rail networks, dams, or even space programs such as the Apollo moon landings, and they all pale in comparison to the >$50 billion annual spend on datacenters Microsoft has penned in for 2024 and beyond. This infrastructure buildout is aimed squarely at accelerating the path to AGI and bringing the intelligence of generative AI to every facet of life from productivity applications to leisure.While the majority of the AI infrastructure is going to based on Nvidia’s GPUs in the medium term, there is significant effort to diversify to both other silicon vendors and internally developed silicon. We detailed Microsoft’s ambitious plans with AMD MI300 in January and more recently the MI300X order volumes for next year. Outside of accelerators there are also significant requirements for 800G PAM4 optics, coherent optics, cabling, cooling, CPUs, storage, DRAM, and various other server components.
🌩 Forecasting
GraphCast: AI model for faster and more accurate global weather forecasting
deepmind.google - Remi Lam
Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute