Download e-book for kindle: Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine by Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao

By Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao

ISBN-10: 1439839255

ISBN-13: 9781439839256

In computer studying purposes, practitioners needs to take note of the cost associated with the set of rules. those expenditures contain:

  • Cost of buying education data

  • Cost of knowledge annotation/labeling and cleaning

  • Computational rate for version becoming, validation, and testing

  • Cost of gathering features/attributes for try out data

  • Cost of consumer suggestions collection

  • Cost of wrong prediction/classification

Cost-Sensitive desktop Learning is among the first books to supply an summary of the present examine efforts and difficulties during this sector. It discusses real-world purposes that comprise the price of studying into the modeling method.

The first a part of the e-book provides the theoretical underpinnings of cost-sensitive computing device studying. It describes well-established desktop studying methods for decreasing info acquisition bills in the course of education in addition to ways for lowering expenses whilst platforms needs to make predictions for brand spanking new samples. the second one half covers real-world functions that successfully exchange off sorts of expenditures. those purposes not just use conventional desktop studying techniques, yet additionally they contain state of the art learn that advances past the constraining assumptions by way of reading the appliance wishes from first principles.

Spurring additional study on numerous open difficulties, this quantity highlights the usually implicit assumptions in desktop studying strategies that weren't absolutely understood some time past. The e-book additionally illustrates the industrial significance of cost-sensitive computer studying via its insurance of the fast program advancements made by means of prime businesses and educational learn labs.

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Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition) by Balaji Krishnapuram,Shipeng Yu,R. Bharat Rao

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