Introducing GLM-5.1: The Next Level of Open Source
- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.
Blog: https://t.co/hmyDe4Nel3
Weights: https://t.co/CuUjXcPKJD
API: https://t.co/fz6reja4fb
Coding Plan: https://t.co/Nk8Y98HNhU
Coming to https://t.co/WCqWT0qCQb in the next few days.
Is R-square Useful or Dangerous? 📈
1/ R-square, also known as the coefficient of determination, measures the proportion of variance in the dependent variable that can be explained by the independent variables in a regression model.
#DataScience#Statistics
🤯 ¡Visualiza tu flujo de datos con todas las modificaciones que has realizado!
📦 Gmisc crea un diagrama que explica cómo preparas tus datos desde el principio, cuántos casos se excluyeron, qué transformaciones utilizas y más!
https://t.co/C3Tjdwfpof
#datascience#rstats#ML
Probability distributions play a fundamental role in statistics and data analysis. They provide a mathematical description of the likelihood of different outcomes occurring in a given scenario. https://t.co/akJRYiltxL
#DataScience#RStats#Statistics#probability#dataviz
#MethodMonday 18: Common statistical tests are linear models (or: It's just a linear model, #IJALM)
https://t.co/b6VG8KvYfG
This week I'm sharing @jonaslindeloev 's excellent illustration of how common parametric/non-parametric tests are variations of linear models 1/..
@carlaconwifi Mira Carla, me contrataron aqui. De uno de tus tweets anteriores que vi, decidi postular hace un mes y ya me dieron aceptacion. Fíjate https://t.co/uC38e7fno9. Realmente es confiable? Me pidieron registrarme alli.
@RosanaFerrero@T_Deguilhem profesora una duda, al referimos a outliers, ponemos en duda la representatividad? Por otro lado, cuál es la relación que tienen estos métodos robustos con el teorema de límite central? Gracias!