Author: Armando Padilla

Comparing Distance Formulas. Part II

Before diving into the algorithms I would like to step back and take a look at the data we will be analyzing with our examples. Where did the data come from? The data originated from the Netflix.com data mining challenge. The challenge was created by Netflix 2-3 years ago to allowed data mining junkies the

Comparing Distance Formulas. Part I

Match.com, Singles.com and Netflix.com and countless other sites out there rely on comparing a group of people to answers users submit on a daily basis. Some like Match.com use a long questioner while others, such as Netflix.com, uses renting habits of a user to determine if a the user might like another product. In a

Webblie.com – PHP5 Site

I wrote this entry close to 2am so i made no sense now that I read it. This is more of a technical background on how webblie.com works and why I went the path I chose. Technology Webblie.com was built using PHP 5 and MySQL as a non-volatile data storage medium. Given that I chose

Fast Paced Development Model Part I

In a article I recently wrote, which was not published on this web site, I raised the question. How can a software development team of any size properly release software applications with a limited amount of acceptable bugs. By acceptable bugs I mean, bugs that do not hinder the ability of the user to properly

Zero Defect Methodology

Like most of you know, I’ve worked at Universal for a very long time. Then I left and consulted for a while. Im back at NBC, Universal Lot, and im picking up a few pointers. Not positive pointers but pointers that reinforce the positive pointers I have :-). Let me go back a few months.

Like-minded users and Dynamic Links

Intro You begin to browse the online catalog and you realize, “hey what’s his face also bought this toy!”. If your like me, the majority of times you’ll tend to skim through an online retailer such as Amazon.com starting at your initial search and then following all the recommended books, toys, gadgets, and gizmos that

Apriori Algorithm – Ruby

AA is not only where the alcoholics get help but also where were data miners go when they need to find a basic algorithm to locate all the combinations that appear a certain number of times in a set of information. The Apriori algorithm, takes an initial data set, beats it to a pulp, strains

Find-S Algorithm – Ruby

I created this a while back. One of the first Machine Learning algorithms that I implemented in Ruby. Hope it helps people out. ######## # Title: Ruby Implemintation of (Find-S Algorithm) # Description: Find-S algorithm allows us to get a hypothesis that will categorize # our data set to its MOST GENERAL FORM. # Author: