Applied Predictive Modeling [Audiobook] download free by Max Kuhn

Applied Predictive Modeling Audiobook download free by Max Kuhn
  • Listen audiobook: Applied Predictive Modeling
  • Author: Max Kuhn
  • Release date: 2018/1/11
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781461468486
  • Rating: 9.04 of 10
  • Votes: 117
  • Review by: Jana Phelan
  • Review rating: 8.87 of 10
  • Review Date: 2018/9/19
  • Duration: 7H31M22S in 256 kbps (120 MB)
  • Date of creation of the audiobook: 2018-07-22
  • You can listen to this audiobook in formats: FLAC, MPC, WMA, MP3, MPEG4, WAV (compression ZIP, TAR, ARC, BZ2, TBZ, CAB, RAR)
  • Total pages original book: 600
  • Includes a PDF summary of 53 pages
  • Duration of the summary (audio): 40M30S (10.6 MB)
  • Description or summary of the audiobook: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package.This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
  • Other categories, genre or collection: Epidemiology & Medical Statistics, Probability & Statistics, Mathematical & Statistical Software
  • Download servers: Microsoft OneDrive, Copiapop, Torlock, Google Drive, FileServe, MEGA,, FreakShare, Hotfile. Compressed in ZIP, TAR, ARC, BZ2, TBZ, CAB, RAR
  • Format: Hardback
  • Approximate value: 95.76 USD
  • Dimensions: 155x235x38.1mm
  • Weight: 997.9g
  • Printed by: Not Available
  • Published in: New York, NY, United States

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