Sports Analytics Weekly by kubeia.io - 48/2023
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🎲 Betting
Closing Line Value (CLV) Theory
twitter.com
Have you heard of the Closing Line Value (CLV) Theory but aren't sure what it is? Here I will explain.
📝 Sports Analytics
Creating Better Data: Calculating Physical Metrics
statsbomb.com - Yohahn Ribeiro and Alex Palmer-Walsh
American football is a game of power, strategy, and precision. Behind the thrilling touchdowns and bone-crushing tackles lies a world of physical metrics that play a crucial role in determining a player's success on the field.
💰 Quantitative Finance
Machine learning for finance is hard!
twitter.com - Danny Groves
So let's take a simple case, and break it down step-by-step in this 🧵
A Grad-School Number-Cruncher Shakes Up the World of Bond Quants
bloomberg.com - Justina Lee
Professors retract seminal finance paper after detective work uncovers flaws
🤖 Machine Learning
Introducing Keras 3.0
keras.io - Keras Team
After five months of extensive public beta testing, we're excited to announce the official release of Keras 3.0. Keras 3 is a full rewrite of Keras that enables you to run your Keras workflows on top of either JAX, TensorFlow, or PyTorch, and that unlocks brand new large-scale model training and deployment capabilities. You can pick the framework that suits you best, and switch from one to another based on your current goals. You can also use Keras as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase.