Trust in AI - methods and use cases for debiasing and explaining of algorithms
09:00-12:00 January 27

½ day
Beginner level

Details

We introduce you into methods how to explain predictions of machine learning/ deep learning models using sensitivity analysis and mathematical algorithms. In this workshop, we are going to explore and test some approaches together, and we will show you how you can take the advantages of these algorithms in explaining the machine learning models.


Outcome

Participants know general approaches to debiasing and interpreting machine learning algorithms, based on hands-on experience.


Prerequisites

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

Organizers

Tiba Razmi

Assistant Manager Data Analytics & Modeling, PwC Digital Services

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