Submissions for MLOps November edition

On ML workflows, tools, automation and running ML in production

Srinivasa Rao Aravilli

@aravilli

MLOps patterns to address Machine Learning Models deterioration in production

Submitted Jul 7, 2021

In this talk, I will present

  • Typical Life cycle of ML Models
  • Discuss about an use case ( Defects Detection in software source code) using ML/DL
  • Patterns used in non-production deployment of ML/DL Models before deploying models in production
  • Tools used to measure and monitor ML models performance/accuracy in production and non-production
  • Patterns used to address ML Models deterioration

Comments

{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Hosted by

Jump starting better data engineering and AI futures