In this second webinar in our six-part series, Socure’s VP Data Science, Pablo Abreu, discusses the methods used in feature engineering to go from raw data (discussed here Data Exploration - Improving the Foundation) to highly predictive features. More specifically, Pablo will share the approach Socure takes to build proprietary predictors to boost machine learning model performance.
In this webinar, Pablo will share:
- General concepts and approaches to feature engineering
- Typical challenges encountered with feature engineering
- Several best practice approaches to consider to maximize success
- Considerations for manual vs. automated approaches to feature engineering