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.

Principiante

Inglés

Después de completar este módulo, podrá hacer lo siguiente:

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 en la siguiente misión:

Data Scientist v1

Temas

Generating data using Monte Carlo data sets

5 minutos

Extending a Monte Carlo data set

5 minutos

Capturing customer responses

5 minutos

Demonstrating adaptive learning

15 minutos

Cuestionario del módulo

5 minutos