A training dataset is a collection of data that is used to train a machine-learning model. A training dataset typically consists of two parts: features and labels. Features are the input data that ...

Learn More Almost anyone can poison a machine learning (ML) dataset ... data, they can still interfere with the model, taking advantage of its ability to adapt its behavior. They could input ...

This repository contains a machine learning project that focuses on analyzing and modeling a given dataset. The project involves various stages, including data loading, preprocessing, feature ...

That’s setting aside the fact that “dataset culture” can distort the science of machine learning research, according to Raji and the other coauthors — and lacks a culture of care for data ...

This Python script utilizes popular machine learning libraries to analyze the famous Iris dataset. The code performs the following tasks: Imports necessary libraries for data analysis and ...

However, and to our knowledge, there are presently no methodical comparisons of existing approaches, nor a standardized collection of test data sets ... the comparative analysis of machine learning ...

If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice. For instance, if a dataset ...