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Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
 

Summary: Examining Difficulties Software Developers Encounter
in the Adoption of Statistical Machine Learning
Kayur Patel1
, James Fogarty1
, James A. Landay1,2
, Beverly Harrison2
1
Computer Science & Engineering
DUB Group, University of Washington
Seattle, WA 98195
{kayur, jfogarty, landay}@cs.washington.edu
2
Intel Research Seattle
1100 NE 45th Street, 6th Floor
Seattle, WA 98105
beverly.harrison@intel.com
Abstract
Statistical machine learning continues to show promise as a
tool for addressing complex problems in a variety of
domains. An increasing number of developers are therefore

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences