The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model ...
This repository deals with AI-based prediction of the German electricity mix. We want to perform time series prediction of the ENTSO-E actual generation per production type and actual load data, i.e., ...
Context: The third generation of cryptocurrencies gathers cryptocurrencies that are as diverse as the market is big (e.g., Dogecoin or Litecoin). While Dogecoin is seen as a memecoin, the other ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results