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Learn by doing with this guide to classical and contemporary machine learning approaches to time series data analysis. With data sets, commented R programs, case studies and quizzes, this is an essential and accessible resource for undergraduate and graduate students in statistics and data science, and researchers in data-rich disciplines. Publisher: Cambridge University Press Illustration(s): Worked examples or Exercises Number of pages: 550 Publication date: 2023 Dimensions: 249 x 178 x 30 Cover type: Hardback
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Vânzător: Elefant.ro
Brand: Cambridge University Press