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Big Data - Elements in the Philosophy of Science Wolfgang Pietsch
Big Data - Elements in the Philosophy of Science
Wolfgang Pietsch
Big Data and methods for analyzing large data sets such as machine learning have deeply transformed scientific practice in many fields. This Element defends an inductivist view of big data research and argues that the type of induction employed by the most successful big data algorithms is variational induction in the tradition of Mill's methods.
75 pages, Worked examples or Exercises
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 18, 2021 |
| ISBN13 | 9781108706698 |
| Publishers | Cambridge University Press |
| Pages | 86 |
| Dimensions | 229 × 151 × 10 mm · 146 g |
| Language | English |