Explorers Series

Unearth the possibilities in your data

Live Seminar

Building Better Models: Case Studies in Predictive Modelling

Mit: Ian Cox und Martin Demel

23. February 2017 | Seminar

09:30- 14:00 CET

SAS Institute, Richtistrasse 11, 8304 Wallisellen

Registration: free incuding Lunch.

Join data experts Ian Cox and Martin Demel for a complimentary seminar introducing statistical modelling and exploring how to apply the concept effectively. Through a variety of case studies, you'll learn to build better and more useful models with advanced predictive modelling techniques, such as regression, neural networks and decision trees. You'll learn to partition your data into training, validation and test sets to prevent overfitting. And you'll see how to use comparison techniques to find the best predictive model.

Predictive models can be an invaluable asset to any organization looking to answer questions such as:

  • What are the key cost drivers that affect revenue?
  • Which product configurations or formulations are more likely to survive manufacturing?
  • What process settings are likely to maximize yield, even if they vary?
  • Which lots are bound to fail and should be pre-emptively scrapped to avoid waste and release capacity?

This seminar is for advanced analysts, scientists, engineers and researchers interested in learning how predictive modelling can help them use the data they have today to better predict tomorrow.
Following the session, we invite you to join us for a complimentary lunch during which you'll have the chance to continue the discussion and network with those facing similar analytics challenges in their organizations.

Please bring your colleagues! We've heard from previous participants that when they attend together with their peers, the whole team benefits. And for this event only, if you bring a colleague who is not yet a JMP user, you'll receive a small token of our appreciation.

Registrieren Sie sich jetzt für dieses Seminar

*
*
*
*
*
*
 
  Bitte senden Sie mir Nachrichten zu Software Updates und anderen interessanten Informationen für JMP Anwender
 
 

Mit dem Absenden dieses Formulars akzeptieren Sie die Nutzungsbedinungen von SAS Institute GmbH für das vorliegende Informationsangebot. Ihre Daten werden selbstverständlich vertraulich gemäß der SAS Privacy Policy gehandhabt.

Back to Top