Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and MLOps, with campus immersion.

Prediction markets tallied over $700 million in trading volume on Monday, breaking the record set the day before despite an ...

The addition of USD1 will support increased liquidity, deeper user participation, and continued growth across the prediction ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...

Abstract: Demand forecasting for perishable goods has become increasingly critical due to the growing complexity of supply chains and the need to minimize waste. This systematic review focuses on cold ...

In order to fetch data from the FRED database, you must obtain a free FRED API key. FRED-Timeseries-Analysis-Package/ │ ├── fred_quincast/ <- the code folder (same name as PyPI project) │ ├── __init__ ...

1 Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China Background: Drug use is ...