Python-bloggers

Examps of use of Machine Learning (for longitudinal data) Reserving

A flexible hybrid approach to probabilistic stock forecasting that combines machine learning with ARCH effects, offering an alternative to traditional ARMA-GARCH models

I’ve been working with Docker for years now across several development teams, and I’ve got to say—there’s a world of difference between knowing basic Docker commands and actually integrating Docker deeply into your development workflow. After countless hours of troubleshooting environment issues and hearing “but it ...

How to use techtonique.net's API to compute feature importance using permutations and SHAPley values

How to make API calls to techtonique.net for survival analysis and plot the results with rush

How to make API calls to techtonique.net for stochastic simulation using diffusion models, and plot the results with rush

How to make API calls to techtonique.net for stochastic simulation using diffusion models

How to make API calls to techtonique.net (and xgboost, lightgbm, catboost) for conformal machine learning regression tasks using curl, curlconverter.com, Python requests

Haptic robotics is bridging the gap between man and machine by enabling robots to simulate touch and emotion. This article dives deep into how it works, current innovations, real-world applications, and the ethical challenges of robots that seem to “feel.” Why Touch Should Matter in Robotics In robotics, motion was ...