Terms related to machine learning · 3.3
Terms related to machine learning
Seventeen entries describe learning from data: the model, the algorithm, the parameters, training and retraining, the supervised, semi-supervised and unsupervised modes, reinforcement learning, and named model families.
What this clause settles
This clause is part of the map of the document. The page states what the clause covers, what the public record proves and where the text stops, so a reader can plan without guessing at the missing part. For Terms related to machine learning, the page keeps the claim level "terms and definitions" visible and says where the public text stops.
Who it binds
The organisation that adopts the vocabulary. The clause is not a shall requirement; the claim level states what it is.
What to do in your practice
Use the clause as the index for the vocabulary work. Take the terms it covers, match them to the artefacts where they appear, and record the places with no artefact as the first work items. Start with the artefacts that cite Terms related to machine learning and work outwards.
Evidence an auditor or regulator asks for
- A policy map that names Terms related to machine learning and the clause it comes from.Shows that Terms related to machine learning was read and placed, not merely cited.
- A controlled vocabulary register for the entries in Terms related to machine learning, with an owner and a review date.An auditor asks who keeps the Terms related to machine learning entries current, not only whether they exist.
- One live artefact that uses a term from Terms related to machine learning correctly, with the date it was checked.Connects Terms related to machine learning to the work rather than to a shelf document.
Common gaps this page catches
- Terms related to machine learning is cited without the entries behind it, so the citation cannot be tested.
- The clause is cited in a policy without the terms behind it, so the citation adds authority but not meaning.
What to prepare before the amendment lands
Take Terms related to machine learning into the next review, list the artefacts that rely on it and give each a named owner. The Terms related to machine learning list is the plan; the owner is the control.
How to test it here
Take one live artefact rather than a template, find the sentence or field where Terms related to machine learning is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states Terms related to machine learning at the claim level "terms and definitions" and stops where the public record stops.
Common questions
- What does Terms related to machine learning mean in ISO 22989?
- Seventeen entries describe learning from data: the model, the algorithm, the parameters, training and retraining, the supervised, semi-supervised and unsupervised modes, reinforcement learning, and named model families.
- What evidence should we keep for 3.3?
- A policy map that names Terms related to machine learning and the clause it comes from. A controlled vocabulary register for the entries in Terms related to machine learning, with an owner and a review date.
- Is Terms related to machine learning a requirement?
- No: Terms related to machine learning is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.3. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: terms and definitions. All 17 entries are in the public preview.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary