Experimental Math
Featured Posts
Machine Learning
Visualization
Math-free, Parameter-free Gradient Descent in Python
Entitled “Math-free, Parameter-free Gradient Descent in Python”, the full version in PDF format is accessible in the “Free Books and Articles” section as paper #17, here. I discuss techniques related to the gradient descent method in 2D. The goal is to find the minima of a target function, called the cost function. The values of […]
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Data Sets
Featured Posts
Machine Learning
Synthetic Data
Time Series
Visualization
New Interpolation Methods for Data Synthetization and Prediction
Entitled “New Interpolation Methods for Synthetization and Prediction”, the full version in PDF format is accessible in the “Free Books and Articles” section as paper #16, here. This article is an extract from my book “Synthetic Data and Generative AI”, available here. I describe little-known original interpolation methods with applications to real-life datasets. These simple techniques are […]
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