Towards Data Science

• Python 3.15 Has a New Profiler

  Here's what it finds that cProfile misses

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• Don’t Let Messy Data Bend Your Curves

  Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data

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• Skewness and Kurtosis: From Moments to Machine Learning

  The mathematics, intuition, interpretation, and practical use of higher-order moments.

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• Why Parameter Count Is Not Model Complexity: An Introduction to Effective Dimension

  What does effective dimension reveal about redundancy, generalization, and trainability that parameter count, loss, and accuracy do not?

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• Your Six AI Models Are Really Two: The Math of Correlated Mistakes

  Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions.

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