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Machine learning per la pubblica amministrazione
Translated title of the contribution
:
[Machine translation] Machine learning for public administration
Rosa Meo
,
MIRKO LAI
, Paolo Pasteris
Department of Science and Technological Innovation
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
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Keyphrases
Public Administration
100%
Machine Translation
100%
Machine Learning
100%
Public Contracts
50%
University of Turin
50%
Predictive Approach
50%
Big Data
50%
Machine Learning Techniques
50%
Descriptive Approach
50%
Data Scientist
50%
Computer Workers
50%
Anti-corruption
50%
Computer Data
50%
Knowledge Assets
50%
Prescriptive Approach
50%
Descriptive Characteristics
50%
Computer Science
Machine Translation
100%
Machine Learning
100%
Learning System
100%
Big Data
50%
Machine Learning Technique
50%
Computer Scientist
50%
Statistical Approach
50%
Data Scientist
50%
Knowledge Asset
50%
Arts and Humanities
Automatic Translation
100%
Descriptive
100%
Scientists
100%
Turin
50%
Cognitive
50%
Prescriptive
50%
Social Sciences
Public Administration
100%
Automatic Translation
100%
Good Practice
50%
Learning Method
50%
Computer Scientist
50%
Scientists
50%
Big Data
50%
Chemical Engineering
Learning System
100%