Speaker "Sam Mefford" Details Back
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Name
Sam Mefford
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Company
Ancestry
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Designation
Software Engineer
Topic
Engineering for Machine Learning Predictions
Abstract
In this session you can learn about what it took to run deep-learning models at production scale to extract Obituaries from 500 Million Newspapers pages. We will discuss what makes getting model predictions in production challenging, and why the state-of-the-art is very immature. Without technical details, we will review the AWS components used, challenges faced, and lessons learned. We will review cost saving practices and discuss the collaboration required between Data Scientists and Engineers.
Who is this presentation for?
Engineers, Data Scientists, and Business People who want a deeper understanding of what it takes to run batches of dta through Machine Learning models to get predictions in production.
Prerequisite knowledge:
General technical knowledge. Some familiarity with what a Machine Learning model is.
What you'll learn?
In this session you can learn about what it took to run deep-learning models at production scale to extract Obituaries from 500 Million Newspapers pages. We will discuss what makes getting model predictions in production challenging, and why the state-of-the-art is very immature. Without technical details, we will review the AWS components used, challenges faced, and lessons learned. We will review cost saving practices and discuss the collaboration required between Data Scientists and Engineers.