Tackling the massive complexity of production Machine Learning
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DevOps • December 2021
Tackling the massive complexity of production Machine Learning
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About
Tackling the massive complexity of production Machine Learning
About

As an early Machine Learning practitioner working with a small number of models it was easy to think that wrapping a model in an API was all that was needed. Since then, having worked with customers that deploy thousands of models at scale, I’ve realised quite how naive that worldview was. The road to MLOps best practice is long, hard and poorly defined… In this talk I’ll cover the mistakes I’ve made, what I’ve learned along the way, and how DevOps principles are bleeding over into the field of ML.

Language
English
Level
Beginner
Length
35 minutes
Type
online conference
About the speaker
About the speaker
Ed Shee
Head of Developer RelationsSeldon
Ed Shee heads up Developer Relations at Seldon. Previously leading a team at IBM, he comes from a cloud computing background and is a strong believer in making deployments as easy as possible for developers. With an education in computational modelling and an enthusiasm for machine learning, Ed has blended his work in ML and cloud computing together to cement himself firmly in the emerging field of MLOps.
Details
Language
English
Level
Beginner
Length
35 minutes
Type
online conference
Belongs to:
Belongs to:
Online Tech Conference 2021 - English Edition | Autumn
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