Scaling a recommender system across large data volumes

By Michele Usuelli, Data Scientist Consultant Building a recommendation engine in presence of large data volume E-commerce businesses can suggest new products to their customers. How do they choose the products to recommend? The companies collect data about the purchases of their customers. Starting from the purchase history, they can identify items that have been… Read more

Validating a model in R Services using the k-fold

By Michele Usuelli, Data Scientist Consultant Why k-fold Predictive modelling consists in predicting a future outcome based on the data. Starting from data which outcome is already known, the predictive models detect patterns that had an impact on the outcome. Then, in presence of data which outcome is unknown, the model looks for the same… Read more