User Manual Overview

This manual provides details for implementing Data Science/Statistical Analysis and Machine Learning use cases in a privacy-preserving way. TripleBlind allows these processes to be carried out similarly to how they would be carried out in the conventional way, but with the added benefits of privacy, compliance, speed, and security. The general TripleBlind workflow is: “Extract > Transform > Load > Sample > Preprocess > Run.”

As you explore this manual, take note of these macro level steps and how they are repeated across use cases, while micro level alterations enable you to perform a range of powerful capabilities.

Please see additional documentation for more detailed information: interactive tutorials and API reference documentation.