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Reusable Markdown AI Prompt: Web-based Reference… January 24, 2026 Version 22, March 4, 2026AI prompt optimized for Gemini. #…
A full variability-yield analysis workflow,… October 21, 2025 Summary of the demo Synthetic SPICE/TCAD-style dataset Features: ΔVtn, ΔVtp…
Time Series Vectorization and Embedding in AI/ML April 4, 2026 Time Series Vectorization vs. Embedding 🔍 구분 Time Series Vectorization…
Lin’s Concordance Correlation Coefficient… April 9, 2026 Introduction to Lin’s Concordance Correlation Coefficient (CCC) In the fields…
Model Context Protocol (MCP) January 15, 2026 [Gemini] What is Model Context Protocol (MCP)? The Model Context…
“Probabilistic Machine Learning” –… October 26, 2025 https://probml.github.io/pml-book Book 0: “Machine Learning: A Probabilistic Perspective” (2012) See this…
Python, XKCD plots in MatplotlibPython Codes – TODO October 22, 2025 XKCD plots in MatplotlibThis notebook originally appeared as a blog…
Mean, Variance, and Agreement Metrics for Regression… April 8, 2026 Regression metrics ├── Mean-based │ ├── Scale-dependent → MAE, MSE,…
Physics-Informed Machine Learning: Integrating… April 18, 2026 The Core Principle of PIML: Loss Function $$ { \mathcal{L}_{total}…
Python MCP (Model Context Protocol) Servers February 2, 2026 [Gemini] The Model Context Protocol (MCP) provides a standardized way…