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

Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

Department of Biomedical Engineering, Tandon School of Engineering, New York University, New York, NY, United States Introduction: Leptin, primarily secreted by adipose tissue, is a critical hormone ...

In the predawn hours of August 19, 2024, bolts of lightning began to fork through the purple-black clouds above the Mediterranean. From the rail of a 184-foot vessel, a 22-year-old named Matthew ...

Nvidia on Tuesday unveiled a new graphics processing unit designed to power existing artificial intelligence, known as inference workloads. The move signals that Nvidia believes data centers of the ...

From 2003 to 2023, the share of Americans who read for pleasure fell 40 percent, a sharp decline that is part of a continuing downward trend. By Maggie Astor Any reader knows the unique delight of ...