Open Access Government

Basic machine learning with lessR : Easy, simple, and free

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
IEEE

Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania

Abstract: Over fifty percent of the population in Tanzania suffers from multidimensional poverty. Because of the high poverty rate and slow improvement, ending poverty by the year 2030 remains ...
IEEE

Bi-SSFormer: An Ultralightweight Binary Spectral–Spatial Transformer for Hyperspectral Image Classification

Abstract: With the advancement of deep learning techniques, deep neural networks have progressively supplanted traditional machine learning methods for hyperspectral image (HSI) classification, ...
University of Oslo

STK2100 – Machine Learning and Statistical Methods for Prediction and Classification

STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...
GitHub

01_Random_Linear_Classification.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...