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DevOps for ML and Other Half-Truths - Processes and Tools for the ML Lifecycle

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

MLOps Courses Artificial Intelligence Courses Machine Learning Courses DevOps Courses Cloud Computing Courses Software Development Life Cycle Courses Model Deployment Courses

Course Description

Overview

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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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