Test, test, test
- Conduct rigorous unit tests to test each component of the system in isolation.
- Conduct integration tests to understand how individual ML components interact with other parts of the overall system.
- Proactively detect input drift by testing the statistics of the inputs to the AI system to make sure they are not changing in unexpected ways.
- Use a gold standard dataset to test the system and ensure that it continues to behave as expected.
- Conduct iterative user testing to incorporate a diverse set of users’ needs in the development cycles.
- Build quality checks into a system.
37
264 reads
CURATED FROM
IDEAS CURATED BY
The idea is part of this collection:
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.
I agree to receive email updates