12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.