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Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

py-app-standalone builds a standalone, relocatable Python installation with a set of packages included. It's like a modern alternative to PyInstaller that leverages the newer uv ecosystem. It's a ...

Purdue researchers are building AI-powered air-ground robots that can navigate and collaborate in GPS-denied military terrain ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Overview Python bootcamps in 2026 will focus more on real-world projects, AI tools, and job-ready skills rather than theory ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...