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  • Activation Functions in Neural Networks: Intuition, Visuals, and Trade-offs
    deep-learningneural-networksactivation-functions
    Why activation functions matter, popular choices, and how they shape learning—illustrated.
  • What is One Hot Encoding and How to Use It
    machine-learningdata-preprocessingfeature-engineering
    Master one hot encoding with interactive examples - transform categories into numbers machines can understand.
  • What Is Inference? Understanding the Prediction Process in ML
    machine-learninginferenceai
    A story-first explanation of ML inference—the moment a model performs—and how to make it fast, reliable, and cost‑effective.
  • How to Keep a RAG System's Knowledge Up to Date
    ragllmvector-dbcdcsystems-design
    Stop boiling the ocean. Use CDC to upsert only the changes and keep your RAG system fresh in seconds at a fraction of the cost.
  • Why int's negative range is larger than its positive range
    computer-sciencebinarytwos-complementintegers
    Two’s complement skews signed ints negative: [-2^(n-1), 2^(n-1)-1]. Here’s why, with 8‑bit examples and code pitfalls.
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  • Arnab Mondal

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