[ FreeCourseWeb ] Machine Learning for Knowledge Discovery with R - Methodologies for Modeling, Inference and Prediction

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size12.6 MB
  • Uploaded Byfreecoursewb
  • Downloads86
  • Last checkedJul. 30th '21
  • Date uploadedJul. 27th '21
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Infohash : 427BF067F588D1B8A80E35071035F40054DCA558

Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction



English | 2021 | ISBN: 1032065362 | 261 pages | True PDF | 12.55 MB

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein.

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