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  1. 1
    Machine learning an artificial intelligence approach
    Published 1983
    Subjects: “…Machine learning.…”
  2. 2
    Nowcasting Global Poverty
    Subjects: “…MACHINE LEARNING…”
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  3. 3
    Solving robot path planning problem using Ant Colony Optimisation (ACO) approach / Nordin Abu Bakar and Rosnawati Abdul Kudus
    Subjects: “…Machine learning…”
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  4. 4
    Man vs. Machine in Predicting Successful Entrepreneurs : Evidence from a Business Plan Competition in Nigeria
    by McKenzie, David, Sansone, Dario
    Published 2017
    Subjects: “…MACHINE LEARNING…”
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  5. 5
    Using Machine Learning to Assess Yield Impacts of Crop Rotation : Combining Satellite and Statistical Data for Ukraine
    Subjects: “…MACHINE LEARNING…”
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  6. 6
    Multidimensionality of Land Ownership among Men and Women in Sub-Saharan Africa
    Subjects: “…MACHINE LEARNING…”
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  7. 7
    FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach
    Subjects: “…MACHINE LEARNING…”
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  8. 8
    Poverty from Space : Using High-Resolution Satellite Imagery for Estimating Economic Well-Being
    Subjects: “…MACHINE LEARNING…”
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  9. 9
    Estimating Food Price Inflation from Partial Surveys
    by Andree, Bo Pieter Johannes
    Published 2021
    Subjects: “…MACHINE LEARNING…”
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  10. 10
    Quantifying War-Induced Crop Losses in Ukraine in Near Real Time to Strengthen Local and Global Food Security
    Subjects: “…MACHINE LEARNING…”
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  11. 11
    Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment
    Subjects: “…MACHINE LEARNING…”
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  12. 12
    Predicting Entrepreneurial Success is Hard : Evidence from a Business Plan Competition in Nigeria
    by McKenzie, David, Sansone, Dario
    Published 2019
    Subjects: “…MACHINE LEARNING…”
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  13. 13
    Estimation of the ex ante Distribution of Returns for a Portfolio of U.S. Treasury Securities via Deep Learning
    by Foresti, Andrea
    Published 2019
    Subjects: “…MACHINE LEARNING…”
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  14. 14
    How much does reducing inequality matter for global poverty?
    Subjects: “…MACHINE-LEARNING…”
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  15. 15
    The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees
    Subjects: “…MACHINE LEARNING…”
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  16. 16
    What Can We (Machine) Learn about Welfare Dynamics from Cross-Sectional Data?
    by Lucchetti, Leonardo
    Published 2018
    Subjects: “…MACHINE LEARNING…”
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  17. 17
    Reusable components for knowledge modelling case studies in parametric design problem solving
    by Motta
    Published 1999
    Subjects: “…Machine learning…”
  18. 18
    Assessing Physical Environment of TOD Communities around Metro Stations : Using Big Data and Machine Learning
    by Fang, Wanli, Liu, Liu, Zhou, Jianhao
    Published 2020
    Subjects: “…MACHINE LEARNING…”
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  19. 19
    AI Investments Allow Emerging Markets to Develop and Expand Sophisticated Manufacturing Capabilities
    Subjects: “…MACHINE LEARNING…”
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  20. 20
    Child Stature, Maternal Education, and Early Childhood Development
    by Skoufias, Emmanuel, Vinha, Katja
    Published 2020
    Subjects: “…DOUBLE MACHINE LEARNING…”
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