ISO/IEC 23053:2022
Machine learning approaches – ISO/IEC 23053:2022

ISO/IEC 23053:2022 7.1: General

What does 7.1 require?

The clause opens the approaches group by linking the method to the data. Supervised learning needs labelled examples, unsupervised learning works without them, and semi-supervised, self-supervised, reinforcement and transfer learning each change the relationship between data, feedback and the task. The framework treats the choice as a design decision with consequences for what can be evaluated and what evidence can be produced. The public sample does not carry this clause, so this page describes the group's logic from the public contents and the framework's structure rather than putting words into the clause.

Maintained by Gerard Blokdyk

Other controls in Machine learning approaches – ISO/IEC 23053:2022

Query this from an agent

The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.