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Jann Spie

Biographic Data

ID1471285
NAMEJann Spie
GIVEN NAMESJann
FAMILY NAMESpie
SIGNATURESPIE J
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS56
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2017
H-INDEX1
  • Machine Learning: An Applied Econometric Approach

    Open Access•Sendhil Mullainathan, Jann Spie et al.•ARTICLE•The Journal of Economic…•2017•Cited by: 56•References: 33

    Machines are increasingly doing "intelligent" things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econometrics raises questions: How do these new empirical tools fit with what we know? As empirical economists, how can we use them? We present a way of thinking about machine learning that gives it its own pla…

  • Machine Learning: An Applied Econometric Approach

    Open Access•Sendhil Mullainathan, Jann Spie et al.•ARTICLE•The Journal of Economic…•2017•Cited by: 56•References: 33

    Machines are increasingly doing "intelligent" things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econometrics raises questions: How do these new empirical tools fit with what we know? As empirical economists, how can we use them? We present a way of thinking about machine learning that gives it its own pla…

  • Machine Learning: An Applied Econometric Approach

    Open Access•Sendhil Mullainathan, Jann Spie et al.•ARTICLE•The Journal of Economic…•2017•Cited by: 56•References: 33

    Machines are increasingly doing "intelligent" things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econometrics raises questions: How do these new empirical tools fit with what we know? As empirical economists, how can we use them? We present a way of thinking about machine learning that gives it its own pla…

Artificial Intelligence (1 works) · Computer Science (1 works) · Empirical research (1 works) · Energy, Environment, and Transportation Policies (1 works) · Forecasting Techniques and Applications (1 works) · Impact of Light on Environment and Health (1 works) · Machine learning (1 works) · Mathematics (1 works) · Toolbox (1 works)

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