DevOps for ML and Other Half-Truths - Processes and Tools for the ML Lifecycle
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the challenges and solutions in implementing enterprise-ready machine learning models through this insightful conference talk by Kenny Daniel, founder and CTO of Algorithmia. Delve into the complexities of the machine learning lifecycle, comparing it to traditional software development processes. Gain valuable insights on standardizing ML-focused lifecycles to support IT operations management and infrastructure groups. Learn from Daniel's extensive experience in helping organizations deploy, connect, manage, and secure machine learning operations at scale. Discover how to navigate the diverse landscape of ML tools, languages, and infrastructures to generate real value in enterprise settings.
Syllabus
Kenny Daniel - DevOps for ML and other Half-Truths: Processes and Tools for the ML Lifecycle
Taught by
Toronto Machine Learning Series (TMLS)
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