Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
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.
A critical Grist-Core flaw (CVE-2026-24002, CVSS 9.1) allows remote code execution through malicious formulas when Pyodide ...
Abstract: Motivated by hyper-reliable low-latency communication in 6G, we consider error control coding for short block lengths in multi-antenna SIMO flat-fading ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Abstract: In the paper, we propose a novel RaptorQ-based unsourced random access (URA) scheme that integrates RaptorQ codes and sparse regression codes (SPARCs) to design access schemes tailored for ...
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From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...