Democratizing Data Science through Interactive Curation of ML Pipelines
Democratizing Data Science through Interactive Curation of ML Pipelines
Statistical knowledge and domain expertise are key to extract actionable insights out of data, yet such skills rarely coexist together. In Machine Learning, high-quality results are only attainable via mindful data preprocessing, hyperparameter tuning and model selection. Domain experts are often overwhelmed by such complexity, de-facto inhibiting a wider adoption …