Machine Learning Presentation: Provenance and Lineage for Data, Pipelines, and Deployments

by Dr. Phil Winder , CEO

Dr. Phil Winder shares experiences of Winder.AI’s machine learning consulting experience at a variety of large and small organizations.

Abstract

In this talk he focuses on how provenance and lineage, typically thought of as a model deployment problem, can help make the development of machine learning models more repeatable, understandable, and robust.

Discover the difference between lineage and provenance. Learn how to determine the “strength” of your lineage and how robust it is to failure.

About This Series

Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.AI, Author of O’Reilly’s Reinforcement Learning and one of the founders of the MLOps Community, covering a range of topics about the use of machine learning operations (MLOps), reinforcement learning (RL), and machine learning (ML) in industry today.

Gather technical insights and understand ways in which you can empower your organization through the application and operation of Artificial Intelligence (AI). Each event is fully interactive with its very own dedicated Q&A session at the end of each session.

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