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  <titleInfo>
    <title>Machine Learning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Tom M Mitchell</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tom M Mitchell</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="">Machine learning-Computer algorithms</genre>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>: McGraw-Hill</publisher>
    <dateIssued>, ©1997</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvii, 414 pages  ; 25 cm</extent>
  </physicalDescription>
  <abstract>	
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.</abstract>
  <tableOfContents>	1. Introduction --
2. Concept Learning and the General-to-Specific Ordering --
3. Decision Tree Learning --
4. Artificial Neural Networks --
5. Evaluating Hypotheses --
6. Bayesian Learning --
7. Computational Learning Theory --
8. Instance-Based Learning --
9. Genetic Algorithms --
10. Learning Sets of Rules --
11. Analytical Learning --
12. Combining Inductive and Analytical Learning --
13. Reinforcement Learning.</tableOfContents>
  <note type="statement of responsibility">/Tom M Mitchell</note>
  <subject>
    <topic>Computer Science</topic>
  </subject>
  <classification authority="ddc">006.31 MIT</classification>
  <identifier type="isbn">9781259096952</identifier>
  <identifier type="">Brijwasi Book Distributors H-87, Lalita Park,Laxmi Nagar,Delhi-110092</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">200306</recordCreationDate>
    <recordChangeDate encoding="iso8601">20200306113434.0</recordChangeDate>
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