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: Global warming has become an increasingly critical global challenge in recent years, necessitating the widespread deployment of renewable energy resources to mitigate greenhouse gas ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

MIAMI — The Atlantic hurricane season, which draws to an official close on Sunday, fulfilled forecasts it would be an active year. There were 13 named storms and three Category 5 hurricanes. But, for ...

Pete Crow-Armstrong’s breakout season might have been the story of the year for the Chicago Cubs in 2025. Before this past season, Armstrong had never put it together offensively. But once the Cubs ...

Polymarket’s decentralized forecasting has caught Wall Street’s eye. The New York Stock Exchange’s parent, Intercontinental Exchange (NYSE:ICE), made a headline-grabbing US$2 billion investment last ...

The weather just isn’t what it used to be. Because of climate change, all across the planet, people are experiencing more heat waves, shrinking or growing seasons, worsening floods and storms, drought ...

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...