Workshop / Overview

In this workshop we will go through a use case of fraud detection in an oil distribution network. The goal is to use sensor data to identify and predict some frauds such as leakages or bypasses. You will be training models on historic data and have to deploy these models into a cloud environment to make predictions on live stream data.

Workshop / Outcome

This is an opportunity to familiarize yourself with end to end unsupervised Machine Learning in a production environment. You will also have a chance to productionize your trained Machine Learning model by deploying it into the cloud.

Workshop / Difficulty

Intermediate level

Workshop / Prerequisites

  • intermediate level in ML and Data science
  • working knowledge in open source Python Machine Learning stack is preferred, but R and Matlab users welcome
  • no business knowledge or expertise required
  • only Python can be deployed to the cloud

Track / Co-organizers

Alexandra Gunderson

Co-founder, Unifai

Mark Tibbetts

Data Scientist, Arundo Analytics

Pierre-Antoine Martino

Operations Analytics & Performance Manager, SICPA

Rémi Sabonnadiere

Market Intelligence Specialist, SICPA

AMLD EPFL 2018 / Workshops

TensorFlow Basics 2018 – Sunday

With Bartek Wołowiec, Ruslan Habalov & Andreas Steiner

09:00-12:00 January 281BC

TensorFlow Basics 2018 – Saturday

With Bartek Wołowiec, Ruslan Habalov & Andreas Steiner

09:00-12:00 January 274ABC

Financial Predictions with Machine Learning

With Stefano Tempesta

13:30-16:30 January 275BC

AMLD / Global partners