PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
GitHub

Autoresearch for weather dycores.

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
IEEE

Comparative Evaluation of LSTM, TCN, and Quantile Regression with Conformal Prediction for Time Series Forecasting under Uncertainty

Abstract: Accurate forecasting with uncertainty quantification is essential in high-risk time series applications. Conformal Prediction (CP) offers a model-agnostic way to generate valid prediction ...
IEEE

Leveraging Machine Learning for Real-Time Financial Forecasting and Budget Optimization: Applying Regression Models, and Reinforcement Learning Techniques

Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...