Workshop / Overview

We introduce methodologies for explaining predictions of machine learning/ deep learning models using sensitivity analysis and mathematical algorithms. By exploring and testing some approaches together, our aim will be to demonstrate how you can leverage these algorithms in explaining the machine learning models.

Workshop / Outcome

Participants will be familiar with how to apply clarification algorithm and approaches to interpret machine learning models based on hands-on experience.

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

  • Basic knowledge of machine learning
  • Basic knowledge of image processing and natural language processing
  • Should know Python at intermediate level
  • Should know how to work with Jupyter notebook

Track / Co-organizers

Christian Blakely

Senior Manager Data & Analytics, PwC Digital Services

Tiba Razmi

Explainable AI expert, Assistant Manager Data & Analytics, PwC Digital Services

AMLD EPFL 2019 / Workshops

TensorFlow Basics 2019 – Saturday

With Bartek Wołowiec, Megan Ruthven, Ruslan Habalov & Andreas Steiner

09:00-16:30 January 26

Document Digitization Challenge

With Mihai Gurban & Raquel Terrés Cristofani

09:00-16:30 January 262A

TensorFlow Basics 2019 – Sunday

With Bartek Wołowiec, Megan Ruthven, Ruslan Habalov & Andreas Steiner

09:00-16:30 January 274ABC

AMLD / Global partners