These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Disney's CFO suggested the company may introduce dynamic pricing at its U.S. parks in the future. Dynamic pricing allows businesses to adjust prices based on real-time factors like demand and weather.

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Disney plans to launch dynamic pricing at its domestic theme parks as the company looks to boost incremental revenue, said chief financial officer Hugh Johnston. “We’re actually investing in creating ...

[25.7.22] Remote Control Feature & Bug Fix: Fixed a deprojection error in the data processing pipeline. Added support for remote control—previously, the interactive ...

The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.

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The value of AI is apparent in many industries and countries. In PwC's "2025 Global AI Jobs Barometer," published this June, they note that all companies they surveyed are heightening their AI efforts ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines the benefits of momentum and RMSProp, and how it updates weights efficiently ...

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...