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.

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

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

In der folgenden Mission verfügbar:

Data Scientist v1

Themen

Generating data using Monte Carlo data sets

5 Min.

Extending a Monte Carlo data set

5 Min.

Capturing customer responses

5 Min.

Demonstrating adaptive learning

15 Min.

Modulquiz

5 Min.