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
Read moreBias and Variance
🎯Last updated: 6/9/2025
Read moreTensor Operations (PyTorch)

Last updated: 6/9/2025
Read moreGPUs
Last updated: 6/9/2025
Read moreExplainable AI (XAI) & Feature Selection/Engineering
💡Last updated: 6/9/2025
Read moreEffect Sizes - 2
📏Last updated: 6/9/2025
Read moreFrequentist vs Bayesian Statistics
⚔️Last updated: 6/9/2025
Read moreVectors
Last updated: 6/9/2025
Read moreSpaces, Dimensions, Coordinate Systems
Last updated: 6/9/2025
Read moreSet Theory
Last updated: 6/9/2025
Read moreMicrosoft Azure

Last updated: 6/9/2025
Read moreBag-of-Words (BoW)
🎒Last updated: 6/9/2025
Read moreText Embeddings [1]
🪄Last updated: 6/9/2025
Read more