Demonstrating adaptive learning

To demonstrate that adaptive models learn from customer interactions when real-time data is not available, use a Monte Carlo data set to create mock customer data and train the models by using data flows. A data flow is a scalable and resilient data pipeline that ingests, processes, and moves data from one or more sources to one or more destinations.

Débutant

Anglais

Après avoir terminé ce module, vous pourrez :

Use a Monte Carlo data set as mock customer data

Run a Make Decision data flow to generate Next-Best-Action decisions

Run a Capture Response data flow to simulate customer responses and train adaptive models

Demonstrate that adaptive models accurately pick up on strong predictors of customer behavior

Disponible dans la mission suivante :

Data Scientist v1

Rubriques

Generating data using Monte Carlo data sets

5 mins

Extending a Monte Carlo data set

5 mins

Capturing customer responses

5 mins

Demonstrating adaptive learning

15 mins

Quiz du module

5 mins