14 lines
967 B
JSON
14 lines
967 B
JSON
{
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"type": "Unsupervised Learning",
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"definition": {
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"text": "Unsupervised learning (UL) is a type of algorithm that learns patterns from untagged data. The hope is that through mimicry, the machine is forced to build a compact internal representation of its world. ",
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"updated": 1613197508073
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},
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"paragraphs": [
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{
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"style": "Text",
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"text": "In contrast to Supervised Learning (SL) where data is tagged by a human, eg. as \"car\" or \"fish\" etc, UL exhibits self-organization that captures patterns as neuronal predelections or probability densities. The other levels in the supervision spectrum are Reinforcement Learning where the machine is given only a numerical performance score as its guidance, and Semi-supervised learning where a smaller portion of the data is tagged. Two broad methods in UL are Neural Networks and Probabilistic Methods.",
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"updated": 1613197533736
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}
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]
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} |