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.
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
, Research Scientist at RealityEngines.AI. He has publications in top machine learning conferences such as NeurIPS, COLT, and AISTATS. Colin received his Ph.D. in computer science from Carnegie Mellon University.
Bindu Reddy CEO and Co-Founder of RealityEngines.AI. she was the General Manager for AI Verticals at AWS, AI. Her organization created and launched Amazon Personalize and Amazon Forecast, the first of their kind AI services that enable organizations to create custom deep-learning models easily. Prior to that, she was the CEO and co-founder of Post Intelligence that was acquired by Uber. Bindu was previously at Google