Danny Leybzon
where else to find them
what they talk about
where they keep going back
no series more than once — all 2 in the filters
on a stage with
never shared a talk
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| AI Observability: How To Fix Issues With Your ML Model | Global Artificial Intelligence Virtual Conference 2022 | 2022-03-17 |
Argues that detecting drift is not enough and that logging is the key to root cause analysis, using WhyLogs profiles that compress terabytes to megabytes… | ||
| Save your ML model from degradation with data logging | Big Data & AI Toronto 2021 | 2021-10-13 |
WhyLogs is an open-source data-logging library that profiles 100% of inputs to catch drift and prevent model degradation, trading samples for statistical… | ||
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