Learner (Data Science): Revision history

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5 November 2024

  • curprev 02:1502:15, 5 November 2024‎ 핵톤 talk contribs‎ 3,994 bytes +3,994‎ Created page with "In data science, a '''learner''' is an algorithm or model that "learns" patterns from data to make predictions or decisions. Often referred to as an '''inducer or induction algorithm''', a learner uses data samples to induce a general model that can predict outcomes on new, unseen data. The learning process involves identifying relationships between features (input variables) and target variables (output), refining the model with each iteration or training cycle. ==Termi..." Tag: Visual edit
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