Recommendations and review of end to end data pipelines with Zingg and your data based on current stack, team skills and project requirements
Advice on data preprocessing, cleansing, match types and features to achieve optimal accuracy and performance
Recommendations and help with scaling for larger datasets along with
- hardware sizing
- cluster tuning
- blocking functions design and implementation
- optimization of data cleansing
Training, tuning and debugging Zingg ML models on user datasets
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