Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...
ABSTRACT: Burundi faces alarming food insecurity, affecting 41.2% of the population, with a prevalence of malnutrition reaching 55.9%. Micronutrient deficiencies, particularly iron and zinc, affect ...
I've been attempting to create a custom_family for the Dirichlet-multinomial in brms v2.22.0, following the approach set out in the custom family vignette. However, I'm running into difficulties. The ...
A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...
The personal data that companies collect from consumers online has become a big business referred to as data brokerage. However, most consumers don't know what personal information about them is being ...
In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...
New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...
Abstract: In genetic association studies, haplotype data provide more refined information than data about separate genetic markers. However, large-scale studies that genotype hundreds to thousands of ...
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