Linear Models with Python (Chapman & Hall/CRC Texts in Statistical Science)

by Julian J. Faraway

Julian J. Faraway (Editor)

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  • This version replaces R with Python to make it accessible to a greater number of users outside of statistics including those from Machine Learning.
  • A reader coming to this book from an ML background will learn new statistical perspectives on learning from data.
  • Topics include Model Selection, Shrinkage, Experiments with Blocks and Missing Data.
  • Includes an Appendix on Python for beginners.
  • ISBN13 9781351053402
  • Publish Date 1 February 2021 (first published 28 December 2020)
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman and Hall
  • Format eBook
  • Pages 298
  • Language English