True data fluency starts with curiosity and a healthy habit of challenging assumptions. Data-literate leaders don’t stop at ...
Abstract: High-quality and diverse datasets are crucial for supervised learning in industrial defect detection, yet collecting such data remains challenging. Synthetic data generation offers a ...
In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...
A production-grade data quality monitoring system designed to ensure ML feature integrity for e-commerce platforms. This end-to-end pipeline demonstrates enterprise-level data engineering practices, ...
Abstract: High-temperature superconducting (HTS) pinning maglev technology has advanced to the engineering application research stage, creating an urgent need to investigate the dynamic ...
An analysis of foodborne outbreak data collection in Austria has found issues with completeness and consistency. A report published by the European Food Safety Authority (EFSA) shared results of a ...
Objectives To describe the features and rates of emergency department (ED) presentations identified as related to violence against women (VAW) and of confirmed cases of family domestic violence (FDV) ...
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