IEEE

A High-Performance Malware Detection Using Extra Tree Classifier and Logistic Regression on ...

Abstract: Precise malware identification is essential for enhancing cybersecurity frameworks against advancing threats. This study introduces an enhanced malware detection framework utilizing machine ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
GitHub

logistic-regression-classifier

logistic-regression-classifier ... 🏥 ...
Hacker

Machine Learning for the Birds: Building Your Own Bird Vocalization Classifier

Speech and language processing. At the end of the beginning. byPicture in the Noise@pictureinthenoise byPicture in the Noise@pictureinthenoise Speech and language processing. At the end of the ...
IEEE

Performance Analysis of Logistic Regression Classifier for OTFS Symbol Detection

Abstract: The application of machine learning techniques for wireless communication has grown explosively to support 5G and beyond. In this work, we use a logistic regression classifier (LRC) to ...
来自MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
MIT Technology Review

What is vibe coding, exactly?

While letting AI take the wheel and write the code for your website may seem like a good idea, it’s not without its limitations. MIT Technology Review Explains: Let our writers untangle the complex, ...