This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

MultiPrecision Arithmetic Implements

Error function approximation

Double-Double Complex and Quaternion Implements

Gaussian32 is a statefile for the DM32 calculations related to the normal distribution and error function. The programs are largely converted from an example found in the HP15C Advanced Functions Handbook.

A Julia wrapper for the `libcerf` library, which provides an efficient and accurate implementation of complex error functions, along with Dawson, Faddeeva, and Voigt functions.

AIND Jupyter Notebook to predict student admissions using Keras Neural Networks