Row 7543

Row ID: 7543 | Dataset Entry | Axioma AXP Content Repository

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In chapter 5, in the subsection bayesian statistic, I came through this passage, \`\`The variance of the estimator is an assessment of how the estimate might change with alternative samplings of the observed data. The Bayesian answer to the question of how to deal with the uncertainty in the estimator is to simply integrate over it, which tends to protect well against overfitting.\`\`

can't really make sense of it. what does it mean by integrate over it. what is it? and how does it protect against overfitting...

FieldValue
text In chapter 5, in the subsection bayesian statistic, I came through this passage, \`\`The variance of the estimator is an assessment of how the estimate might change with alternative samplings of the observed data. The Bayesian answer to the question of how to deal with the uncertainty in the estimator is to simply integrate over it, which tends to protect well against overfitting.\`\` can't really make sense of it. what does it mean by integrate over it. what is it? and how does it protect agai…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-16
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Raw Record

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  "text": "In chapter 5, in the subsection bayesian statistic, I came through this passage, \\`\\`The variance of the estimator is an assessment of how the estimate might change with alternative samplings of the observed data. The Bayesian answer to the question of how to deal with the uncertainty in the estimator is to simply integrate over it, which tends to protect well against overfitting.\\`\\`\n\ncan't really make sense of it. what does it mean by integrate over it. what is it? and how does it protect against overfitting...",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-16",
  "username_encoded": "Z0FBQUFBQm5LakwzY2d5X2FTVFpNQ3JWV1ZWUjNYOXZlR1R3bmtpVDNiNFVSTDFkb3c0d0kwUEFqb2dhSk9vQ2ttQUpsQ0NiVGU0LVpaUm55SC1NWXRtS2VwUmNwc3JjV3U1NDU2c2xyUWZuVnZjS0sxc0I4OGc9",
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