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1. Naive_Bayes.ipynb

   This notebook provides an introduction to Naive Bayes classification, covering concepts, formulas, and implementation.

   2025-10-16 Tags: naive bayes, classification, machine learning, probability, spam filtering, python, github by klotz
2. The Most Important Machine Learning Equations: A Comprehensive Guide

   A comprehensive guide covering the most critical machine learning equations, including probability, linear algebra, optimization, and advanced concepts, with Python implementations.

   2025-09-14 Tags: machine learning, equations, probability, linear algebra, optimization, deep learning, python, bayes theorem, entropy, gradient descent, softmax, attention mechanism by klotz
3. Bayesian Neural Networks with TensorFlow Probability

   2020-02-13 Tags: tensorflow, bayesian, neural network, probability, modelling by klotz

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