In this workshop, we will cover 2 important aspects of applied machine learning systems - Explanations and Machine Learning Pipelines.
We will start with a technical talk on Explainable AI and cover the key methods to generate explanations.
After the technical talk, we will conduct a hands on workshop where we will cover how to set up ML data and re-training pipelines. We will cover both streaming and batch updates to data and how ML retraining pipelines can be set up to pick up the latest versions of a dataset. We will finish with generating explanations for models.

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Agenda (US pacific time UTC-7):

[10:00 - 10:10am] Welcome and workshop overview

[10:10 - 10:45am] Explainable AI - overview and science behind the different approaches

[10:45 - 11:45am] Hands on workshop

[11:45 - 12:00pm] Q&A and wrap up