Machine learning and data mining are quickly becoming essential techniques in the field of (astro)physics. Such powerful tools provide precious insights into the laws governing natural processes and ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
From time to time I receive emails from people trying to extract tabular data from PDFs. I'm fine with that and I'm glad to help. However, some people think that pdftabextract is some kind of magic ...
Abstract: Data-driven Quality of Experience (QoE) modeling using Machine Learning (ML) is a key enabler for future communication networks as it allows accelerated and unbiased QoE modeling while ...
In recent weeks, the United States has approached Indonesia to join the Mineral Security Partnership (MSP), a coalition of 14 countries and the European Union aimed at securing critical mineral supply ...
The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...
Last year, many took to social media using the hashtag #NoCongoNoPhone to fight against the cobalt supply chain that fosters child labor and the exploitation of small-scale artisanal miners. The ...
1 Economic Cybernetics and Statistics Doctoral School, Bucharest University of Economic Studies, Bucharest, Romania. 2 Informatics and Economic Cybernetics Department, Bucharest University of Economic ...
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