Monitor and update the system after deployment - Deepstash

Monitor and update the system after deployment

  • Issues will occur: any model of the world is imperfect almost by definition. Build time into your product roadmap to allow you to address issues.
  • Consider both short- and long-term solutions to issues. A simple fix (e.g., blocklisting) may help to solve a problem quickly, but may not be the optimal solution in the long run. Balance short-term simple fixes with longer-term learned solutions.
  • Before updating a deployed model, analyze how the candidate and deployed models differ, and how the update will affect the overall system quality and user experience.

31

259 reads

CURATED FROM

IDEAS CURATED BY

anikad

Life Is A Marathon| Life Lover

The idea is part of this collection:

Machine Learning With Google

Learn more about philosophy with this collection

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

Related collections

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Personalized microlearning

100+ Learning Journeys

Access to 200,000+ ideas

Access to the mobile app

Unlimited idea saving

Unlimited history

Unlimited listening to ideas

Downloading & offline access

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates