Version 2015.6

NLEN03.png

What's new in the last XLSTAT release of the year?

  • Naive Bayes now enriches your supervised machine learning algorithms collection. Naive Bayes assumes independence among predictors. It is fast and known to be very accurate in many situations.
  • Our PLS Path Modeling tool now includes an interface specially adapted to Marketing and Satisfaction analysis. Among the new available options, you will be able to evaluate the impact of modifying brand image, quality or value on customer satisfaction. PLS-Path Modeling is part of the XLSTAT-Marketing and XLSTAT-Psy solutions.

Últimos eventos

This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.

This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.

This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST

Últimos tweets

🎉A warm welcome to Dounia & Najib! Dounia joins the @addinsoft#team as a sales assistant and Najib as an R&D engin… https://t.co/Jde1K6UjOv

🎥 Running a Parallel Coordinates Plot in #Excel with @XLSTAT ▶️Parallel Coordinates Plots are an efficient way to h… https://t.co/0vQRkMtCjT

🎉A warm welcome to Mathilde! Mathilde joins the @addinsoft team as a financial director to work on new projects 🙂… https://t.co/6fMnrZb1va