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 ...
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 ...
GitHub

Autoresearch for weather dycores.

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

Revealing the Effects of Data Heterogeneity in Federated Learning Regression Models for Short-Term Solar Power Forecasting

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...

The Forecasting Fix That Wall Street Missed

A new study shows why traditional valuation ratios like price/dividend and CAPE fail to predict stock returns—and how ...
GitHub

Multi-Signal Demand Forecasting System (Temporal Fusion Transformer)

2.2.2 signals.py Fetch weather, Google Trends, and FinBERT news sentiment; merge into the sales frame (all with offline fallbacks). 2.2.3 features.py Lag (7/14/28), rolling mean/std, calendar, promo, ...