← All capabilities

Deep Learning

Purpose-built networks cover fraud, churn, and recommendations when tabular ML is not enough. They run as API jobs the same way the rest of the platform does.

Fraud and churn endpoints encapsulate training and scoring patterns teams otherwise rebuild. Neural-network and collaborative-filtering routes cover richer interaction data.

Use them from the dashboard or as a pipeline/agent step after ETL has landed a clean source.

What this does for the business

  • Score transactions or accounts without a dedicated ML platform team.
  • Feed churn risk into the same reports the supervisor already writes.
  • Keep training bounded to the API’s job model rather than a hidden notebook.

API

POST /api/models/neural-network POST /api/models/fraud-detection

Full reference: api.dsnresearch.com/docs

Try Deep Learning on your data

Create a free account to get an API key, or log in if you already have one. No credit card required.

Sign up Log in

Related

  • Machine Learning

    Train and deploy ML models: regression, classification, clustering, and anomaly detection, without managing infrastructure.

  • NLP & Text Analytics

    Sentiment analysis, topic modeling, entity extraction, and text classification powered by state-of-the-art language models.