For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Overview: SQL remains a core skill for data management across industries in 2026Free courses build fundamentals while paid ...

Abstract: A new ray-tracing acceleration technique is presented for electromagnetic simulation problems using the Uniform Theory of Diffraction and meshes of planar facets. The innovation involves ...

Breaking into 4 independent services means: Scale each based on actual need (crawler needs 10 instances, matcher needs 2) Test one piece at a time (ship faster, iterate publicly) Different tech ...

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Abstract: Link prediction is widely used in various fields to predict the missing or potential future links between node pairs in the network. Knowledge distillation (KD) methods have been introduced ...

Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

School attendance difficulties are increasingly recognised as complex challenges, rooted in emotional, relational, and systemic influences. This study explores how relational practice can be ...