• You may score as many candidates as you like from 0 (no support) to 5 (max support).
  • You may give the same score to multiple candidates.
  • The two highest-scoring candidates are finalists.
  • The finalist scored higher by more voters wins.
Vote on "What Monthly Learning Talk Topic would you most like to see?"
Poor Prediction Elimination in Algorithmic Pricing by Joydeep Bhadra
Data Science by Keith Edmonds
Salesforce Reports with Presenter TBD
Territory Management Summary by Kaye Morrison
Tableau and its newest features with an external Presenter
STAR Voting and Election Science by Keith Edmonds
CDQ Merge Tool by Haeven Kelley and/or Seth Engen
BigQuery (Round 2) with Sushant Dani
Prediction Underperformance by Joydeep Bhadra
Rouse Classification Tool by Sunil Tellis
MARS with Presenter TBD
Yard Selection Strategies by Sameer Rathod
Algorithmic Pricing by Keith Edmonds
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