Machine Learning Design, Demystified

Abstract

Machine Learning solution design is an iterative process. ADD principles help make ML design decisions in a systematic way. ML Cards aim to select candidate algorithms from a wide variety of alternatives. Prototyping is necessary to validate design decisions.

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Document Details

Document Type
Technical Report
Publication Date
May 08, 2018
Accession Number
AD1146966

Entities

People

  • Lurii Milovanov
  • Rick Kazman
  • Serge Haziyev

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Department Of Defense
  • Engineering
  • English Language
  • Formal Languages
  • Governments
  • Guarantees
  • Language
  • Learning
  • Machine Learning
  • Materials
  • Product Prototyping
  • Software Development
  • Universities
  • Unsupervised Machine Learning

Fields of Study

  • Computer science
  • Medicine

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks