VanceKingSaxbeA / GoldSaxLogReg

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Logistic regression finding best-fit parameters to a nonlinear function called the sigmoid. Methods of optimization are used to find the best-fit parameters using gradient ascent. Gradient ascent is simplified with stochastic gradient ascent. Stochastic gradient ascent does well as gradient ascent using far fewer computing resources.