Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

1 Department of Mathematics and Computer Science, Faculty of Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon. 2 Department of Mathematics and Computer Science, ENSAI, University of Ngaoundéré ...

Abstract: This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Spontaneous regression of cancer is an uncommon event observed most often in neuroblastoma, leukemia, lung cancer, and melanoma. The underlying mechanisms are not fully understood; however, infections ...

The Bureau of Labor Statistics expanded its use of a technique to fill in gaps in inflation data it wasn’t able to collect through traditional methods, adding to concerns about the agency’s ability to ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...