Model Training

nounverified·updated Aug 28, 2026

GlossaryL1 — what DictionaryL2 — how used ThesaurusL3 — relations Universaleverything

the phase in the data science development lifecycle where practitioners try to fit the best combination of weights and bias to a machine learning algorithm to minimize a loss function over the prediction range

Framework senses

3 senses across 3 frameworks

Notes on Measurement1 senseview framework →

§1: process to determine or to improve the parameters of a machine learning model, based on a machine learning algorithm, by using training data

Model Training1 senseview framework →

§1: the phase in the data science development lifecycle where practitioners try to fit the best combination of weights and bias to a machine learning algorithm to minimize a loss function over the prediction range

Legacy lexicon import1 senseview framework →

§1 · legacy_primary: the phase in the data science development lifecycle where practitioners try to fit the best combination of weights and bias to a machine learning algorithm to minimize a loss function over the prediction range
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