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Daily Log | How I Study AI | How I Study AI

Daily Log

Daily records of problem solving and learning notes.

Problem LogsLearning Logs
2026-03-09

MLE vs MAP

Learn the difference between MLE and MAP with clear formulas, numeric examples, when they agree, their link to regularization, and practical tips.

bayesian-inferencemaximum-likelihoodmap-estimationregularizationstatistical-modelingridge-regression
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2026-03-08

Matrix and Vector

Learn how matrices and vectors power geometry, trig identities, graphics, robotics, and neural networks—with clear examples, pitfalls, and NumPy code.

linear-algebratransformationscomputer-graphicsmachine-learningroboticsnumpy
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