{
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  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00268",
  "headline": "Gradient Descent",
  "description": "Gradient descent is the fundamental optimization algorithm for training machine learning models. It iteratively adjusts parameters in the direction of steepest descent of the loss function. Variants: Batch GD (full dataset), Stochastic GD (single example), Mini-batch GD (small batches — standard).",
  "dateCreated": "2026-05-22T14:59:47.495Z",
  "dateModified": "2026-05-22T14:59:47.495Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}