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e10v_me

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  1. Open source contribution and job search as matching markets under AI congestion (e10v.me)
    3 points 1
  2. Comparing Python packages for A/B test analysis (with code examples) (e10v.me)
    9 points 1
  3. Prices as model weights: learning from dispersed data (e10v.me)
    3 points 1
  4. Debunking the Dunning–Kruger effect with random number simulation (e10v.me)
    2 points 1
  5. Show HN: Tea-tasting, a Python package for the statistical analysis of A/B tests (e10v.me)

    I'm excited to introduce tea-tasting, a Python package for the statistical analysis of A/B tests It features Student's t-test, Bootstrap, variance reduction using CUPED, power analysis, and other statistical methods.…

    149 points 51
  6. 1 points 0