Hotel or Taxi? “Sorting hat” for travel expenses with AWS ML infrastructure

To automate the boring task of submitting travel expenses, we developed ML model for classifying recipes. Using AWS EC2, Lambda, S3, SageMaker, and Rekognition we evaluated different ways of training models and serving predictions as well as different model approaches (classical ML vs. Deep Learning).

Datum

18.10.2018

Uhrzeit

14:00 - 15:00

Konferenz / Veranstaltung

AWS Pop-Up Loft Berlin

Ort

OSTHAFEN Berlin, Berlin