🇺🇸 Supercharging Pipeline Efficiency with ML Performance Prediction
Boaz Wiesner, Keren Meron
Running millions of tasks is difficult when dealing with high workload variance. We improved our pipeline efficiency by using ML models to classify task requirements and dynamically allocate the necessary system resources.
DB, Big Data, Data Science, AI/ML
PyData