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My Machine Learning Brain Dump

A living knowledge base of applied machine learning — written, distilled, and maintained by me.

Each topic is structured for clarity and fast understanding — designed to be a reference not just for myself, but for engineers, researchers, and anyone solving real-world problems with AI.

I believe mastering complexity starts with teaching it simply. These notes are proof.

Azure Virtual Machines

📠
Last updated: 6/9/2025
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Bias and Variance

🎯
Last updated: 6/9/2025
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Tensor Operations (PyTorch)

Last updated: 6/9/2025
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GPUs

Last updated: 6/9/2025
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Explainable AI (XAI) & Feature Selection/Engineering

💡
Last updated: 6/9/2025
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Effect Sizes - 2

📏
Last updated: 6/9/2025
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Frequentist vs Bayesian Statistics

⚔️
Last updated: 6/9/2025
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Vectors

Last updated: 6/9/2025
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Spaces, Dimensions, Coordinate Systems

Last updated: 6/9/2025
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Set Theory

Last updated: 6/9/2025
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Microsoft Azure

Last updated: 6/9/2025
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Bag-of-Words (BoW)

🎒
Last updated: 6/9/2025
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Text Embeddings [1]

🪄
Last updated: 6/9/2025
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