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  <titleInfo>
    <title>Mathematics for machine learning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Deisenroth, Marc Peter</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Faisal, A. Aldo</namePart>
  </name>
  <name type="personal">
    <namePart>Ong, Cheng Soon</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Cambridge, United Kingdom</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvii, 371 páginas: ilustraciones (algunas a color)</extent>
  </physicalDescription>
  <tableOfContents>Mathematical Foundations. Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distribution -- Continuous optimization -- Central Machine Learning Problems. When models meet data -- Linear regression -- Dimensionality reduction with principal component analysis -- Density estimation with Gaussian mixture models -- Classification with support vector machines.</tableOfContents>
  <subject>
    <topic>Matematicas</topic>
  </subject>
  <subject>
    <topic>Aprendizaje automática</topic>
  </subject>
  <classification authority="ddc">006.31 D325m 2020</classification>
  <identifier type="isbn">9781108455145</identifier>
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    <recordCreationDate encoding="marc">220928</recordCreationDate>
    <recordChangeDate encoding="iso8601">20250825174928.0</recordChangeDate>
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