Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

To help our audience leverage the power of machine learning, the editors of insideAI News have created this weekly article series called “The insideAI News Guide to Machine Learning.” This is our ...

Atlanta and Tel Aviv — February 14, 2023 – Intelligent monitoring platform maker Mona has announced an automated exploratory data analysis tool to identify the root-cause of anomalies in multivariate ...

Exploratory graphical tools based on trimming are proposed for detecting main clusters in a given dataset. The trimming is obtained by resorting to trimmed k-means methodology. The analysis always ...

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 language for statistics, but the "Tidyverse" has given the language a serious ...

A new approach for exploratory factor analysis (EFA) of data matrices with more variables p than observations n is presented. First, the classic EFA model (n > p) is considered as a specific data ...

A new study published in Frontiers of Engineering Management presents a comprehensive evaluation system to assess innovation ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...