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Sharing Data and Models in Software Engineering

Solve common data and model sharing problems with state-of-the-art data science

Tim Menzies (Author), Ekrem Kocaguneli (Author), Burak Turhan (Author), Leandro Minku (Author), Fayola Peters (Author)

9780124172951

Paperback, published 16 December 2014

406 pages
23.4 x 19 x 2.6 cm, 0.94 kg

Approx.378 pages

  1. Introduction
  2. Data Science 101
  3. Cross company data: Friend or Foe?
  4. Pruning: Relevancy is the Removal of Irrelevancy
  5. Easy Path: Smarter Design
  6. Instance Weighting: How not to elaborate on analogies
  7. Privacy: Data in Disguise
  8. Stability: How to find a silver-bullet model?
  9. Complexity: How to ensemble multiple models?

Subject Areas: Software Engineering [UMZ]

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