How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction

Abstract: The assessment of urban quality of life (UQoL) is a multidimensional challenge involving socioeconomic, environmental, and infrastructure-related variables that, due to changes in the ...
IEEE

Optimizing Power Control in Cellular and Cell-Free Massive MIMO Systems: A SVM/RBF Approach

Abstract: This paper explores the optimization of power control in both cellular (CL) and cell-free (CF) massive MIMO (mMIMO) systems using a hybrid approach combining support vector machine (SVM) and ...
GitHub

GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

You can apply a Processor to any input stream and easily iterate through its output stream: The concept of Processor provides a common abstraction for Gemini model calls and increasingly complex ...
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 ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...