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

Across the retail sector, the competitive frontier is shifting from who captures data to who can transform that data into ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a practical setting.

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Volatility forecasting is a key component of modern finance, used in asset allocation, risk management, and options pricing. Investors and traders rely on precise volatility models to optimize ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: The future of agriculture depends on our ability to make informed, data-driven decisions about land use and crop management. This paper presents a comprehensive, humancentered approach to ...