Willis Towers Watson Software Training

RD2: Gradient Boosting Machines in Radar

Radar is our next generation pricing decision support software, our half day course covers building and evaluating GBM models within Radar.  This course is aimed at users who are confident using the software and have a basic working knowledge of Radar and general modelling concepts.

It will not cover:

• An introduction to Radar or content covered within our Fundamentals of Radar course.
• Fitting other machine learning methods besides GBMs (the theory section will touch on trees and random forests however)
• Fitting GBMs in other software packages besides Radar
• Detailed views of best practice around incorporating ML into specific modelling applications – the course would be limited to use of the software.

• Theory of GBMs, including simple conceptual examples
• Hands-on worked examples of fitting GBMs in Radar, including:
  • Building ground-up GBM models
  • Internal cross-fold validation and hyper-parameter selection
  • Model validation
  • GBM visualization and diagnostics, including factor importance and PDPs
  • GBM fitting features with a focus on faster fitting and hyper-parameter tuning

To maximize your learning experience, we limit attendance to a small group of usually up to six or seven for training held by Webinar and up to 12 for classroom based training.

This course is open to all companies licensing both Emblem and Radar

To register interest and for pricing information, please contact us.

Details

When
Thursday 12 May 2022

Time (U.K Timezone)
09.15 - Registration
09.30 - Start
13.00 - End

Where
Online Webinar

Contact us
Jenny Child
+44 1737 284720

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