Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

IIIT Hyderabad's iHub-Data has launched a six-month training program in AI/ML for early-career women engineers. The program, beginning in March 2026, combines theoretical grounding with hands-on ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Python’s packaging ecosystem is under growing strain as development teams move away from pip in production environments, citing performance bottlenecks, fragile dependency resolution and rising ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.

⚠️ de4py is FREE & OPEN SOURCE (GPL-3.0). Any paid versions sold elsewhere are NOT official. If you paid for de4py, you were misled. De4py is an advanced Python deobfuscator with a beautiful UI ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...