on Translucent Computing
Fourier Series From Points
Mathematical exploration of computing Fourier series from data points, with applications to machine learning using Python and Jupyter Notebook.
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on Translucent Computing
Principal Component Analysis for Machine Learning
Discusses PCA, SVD, covariance, and dimensionality reduction techniques for large dataset analysis and image compression.
on Translucent Computing
Machine Learning -- Hand Written Numbers Recognition
Explores neural network fundamentals for recognizing handwritten digits, covering perceptrons, sigmoid functions, and backpropagation.