Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CNCF [Cloud Native Computing Foundation]

Efficient Model Exploring and Continuous Delivery With Polyaxon + Kubeflow

CNCF [Cloud Native Computing Foundation] via YouTube

Start learning Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This talk presents Mercari’s machine learning lifecycle and its platform approach to moving from experiments toward production. It covers running jobs with Polyaxon and using Kubeflow Pipelines, including components and a shared project manifest.

Syllabus

Intro
What is Mercari?
Machine Learning at Mercari US
ML Development Lifecycle
ML Project Lifecycle at Mercari US
What is Polyaxon?
How to run a job on Polyaxon
What is Kubeflow Pipelines?
Kubeflow Pipelines at Mercari US
What we built to accelerate iterations
Monorepo for Kubeflow Pipelines
"Project" Manifest for KFP and Polyaxon
Polyaxon Kubeflow Pipelines Component
Takeaways

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of Efficient Model Exploring and Continuous Delivery With Polyaxon + Kubeflow

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.