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  <dc:title>Machine Learning Foundations</dc:title>
  <dc:title>R package mlf version 1.2.1</dc:title>
  <dc:description>Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). &lt;doi:10.1214/009053607000000505&gt;. Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). &lt;doi:10.1126/science.1205438&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, utils</dc:relation>
  <dc:creator>Kyle Peterson &lt;petersonkdon@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kyle Peterson [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2018-06-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mlf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mlf</dc:identifier>
</oai_dc:dc>