ml take-homeSequence Prediction System
#RI-6a0e8ead·6 months ago·
1
“Build sequence prediction system on ~17M rows of structured data without upfront compute provision”
What Actually Happened
Lack of upfront communication about compute requirements caused unnecessary work time and logistical issues
What I wish I knew
"Upfront communication about compute expectations would have helped prepare in advance"
Advice to Someone Facing This Now
If I could tell you one thing
"Clearly communicate compute requirements and consider providing pre-configured cloud setups or smaller-model baselines"
Regret Index
5/10
Significant downsides.
Complicated feelings about the outcome.
Complicated feelings about the outcome.
Advice for Someone Facing This
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ml take-home Category
1
ml take-home decisions logged. Avg regret 5/10 across the category.
Same Outcome Band
100%
of ml take-home decisions land in the mixed band the same as this one.
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