IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...

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 ...

Spatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Flexible tools are required to store ...

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 ...

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 ...

Vibrational spectroscopy comprises label-free techniques that allow one to detect electronic changes in the internal vibrational energy levels of biomolecules. Biomolecules that contain chemical bonds ...