Ensemble Learning

Ensemble Learning

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics and machine learning, ensemble methods use multiple models to obtain better predictive performance than could be obtained from any of the constituent models. Unlike a statistical ensemble in statistical mechanics, which is usually infinite, a machine learning ensemble refers only to a concrete finite set of alternative models. Supervised learning algorithms are commonly described as performing the task of searching through a hypothesis space to find a suitable hypothesis that will make good predictions with a particular problem. Even if the hypothesis space contains hypotheses that are very well-suited for a particular problem, it may be very difficult to find a good one.show more

Product details

  • Paperback | 56 pages
  • 152 x 229 x 3mm | 95g
  • Tort
  • United States
  • English
  • black & white illustrations
  • 6136281295
  • 9786136281292