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  <titleInfo>
    <title>Essential math for data science</title>
    <subTitle>take control of your data with fundamental linear algebra, probability , and statistics</subTitle>
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  <name type="personal">
    <namePart>Nield, Thomas</namePart>
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    <extent>334 páginas</extent>
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  <tableOfContents>Basic math and calculus review: number theory - Order of operations -- Probability: understanding probability  - Probability versus statistics -- Descriptive and inferential statistics: what is data - Descriptive versus inferential statistics -- Linear algebra: what is a vector - Adding and combining vectors  -- Linear regression: a basic linear regression - Residuals and squared errors -- Logistic regression and classification: understanding logistic regression - Logistic function  </tableOfContents>
  <note>Incluye índice</note>
  <subject authority="lcsh">
    <topic>Inteligencia artificial</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Análisis numérico</topic>
    <topic>Procesamiento de datos</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Probabilidades y matemáticas aplicadas (Análisis de datos)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Estadística ( Análisis de datos )</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Almacenamiento de información</topic>
  </subject>
  <classification authority="ddc">006.3 N667</classification>
  <identifier type="isbn">9781098102937</identifier>
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    <recordCreationDate encoding="marc">260123</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260128094746.0</recordChangeDate>
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