What's new in XLSTAT version 2016.3?
Version 2016.3 includes two highly anticipated features
- Support Vector Machine (SVM): This supervised machine learning algorithm strengthens the list of algorithms that are already available in XLSTAT. SVM’s are adapted to a wide number of situations, including situations of non-linearity. It is available in all XLSTAT solutions (under the Machine Learning tab).
- Temporal Dominance of Sensations (TDS): This feature allows to easily visualize temporal evolution of the dominance of attributes perceived by assessors. It is available in XLSTAT-Sensory, XLSTAT-Marketing and XLSTAT-Premium (under the Sensory data analysis tab).
- We have given a fresh new look to our menus.
- Box plots can now be colored by group (all XLSTAT solutions).
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 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 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
🗓 Dr. Fahmy will be featuring a new method to evaluate the quality of Check All That Apply (CATA) data during the “… https://t.co/grVqMawgpk