IEEE

The Error Probability of Spatially Coupled Sparse Regression Codes Over Memoryless Channels

Abstract: Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

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 ...
IEEE

Energy-Efficient Multi-Stream Sparse Regression RaptorQ Codes for Unsourced Random Access

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 ...
GitHub

Linear Regression Practice Using Python

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 ...
GitHub

Shiki Code Block

Shiki Code Block is a Shiki based component that allows you to render code in any language and theme. It is highly customizable and supports both light and dark themes.
Hacker

From Strategy to Signals: How Principal Product Managers Drive AI Outcomes Without Writing Code

Visionary PM, explorer of new ideas, and unapologetic product nerd—building things that matter at scale is my love language. Visionary PM, explorer of new ideas, and unapologetic product nerd—building ...