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PyConES 2019 Alicante
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Sunday, October 6 • 10:30 - 11:10
End-to-end machine learning platform for real-time underwriting. A silicon Valley fintech perspective

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Machine learning unfolds its transformational power when applied at scale in real-world environments. e-Commerce and other retail tech organizations have to make day by day non-trivial business decisions, many of which have typically been done with simple heuristics or other types of codified business rules. Machine learning models have proven to outperform these heuristics in automating complex decision making, given enough training data.

For a business to be able to transform itself from a data-collecting organization to a data-driven one, artificial intelligence algorithms, complex data processing pipelines and an accordingly designed IT architecture must be in place. The value of such applied machine learning systems that are deeply integrated in an organization’s software stack is more than the sum of its individual parts.

We will show the nuts and bolts of an end-to-end model training, deployment and scoring system that serves model decisions for underwriting e-Commerce return transactions in real-time, with a 100 % cloud-based infrastructure. Our platform includes a unified model building pipeline that leverages the Python ecosystem: custom and fully integrated preprocessing and feature engineering using scikit-learn, Bayesian hyperparameter optimization of the whole learning process using hyperopt, experiment tracking with MLflow and a REST API for serving predictions in production with Flask, among others.


Sunday October 6, 2019 10:30 - 11:10 CEST
Sala Ilion Animation Aulario Gral. II, 03690 San Vicente del Raspeig, Alicante, España