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As far as CrossValidated allows users to ask for reference,

  • does anyone know (top-notch, authoritative) books, resources, or references about ML, DL, or AI for social scientists?

If there are still " The Two Cultures: statistics vs. machine learning? ", perhaps reflected in StackExchange Cross-Valited and Data Science; where to begin learning the ML culture starting from the perspective of statistics/social science?

I am not asking specifically for Resources on Explainable AI but this may be relevant. You may know if you are more familiar with the fields than I.

Johan
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  • From the perspective of statistics or from the perspective of social science? Those seem like rather different perspectives? // What would be the perspective of social scientists? Does that mean light on math? Heavy on applications to social science fields? – Dave May 02 '23 at 19:48
  • @Dave good question, thanks. Social scientists used to be trained in data analysis using applied statistics. That is why I implicitly equated the two. I believe social sciences (at least how it has been - it may evolve) falls in the stats par of the two cultures of ML and stats. Does that make the question clearer? – Johan May 02 '23 at 20:16

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There is two new book about Machine Learning for Social Research. First is Machine Learning for Social and Behavioral Research and Second is Machine Learning for Experiments in the Social Sciences

juxn-rg
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