I’ve read a dozen or so PHP books since i started working with PHP nearly 7+ years ago and last year I sat down and said, “Hey I can write a book too!”. My quest has been a hard one but its coming together. Im writing a Zend Framework book, its 11 chapters long and
This article will cover the Euclidean Formula. I will cover the basic equation for the algorithm, provide running and working examples for both Ruby and PHP5, but will state advantages and disadvantageous of the algorithm after covering every algorithm in the article. Background – Euclidean Algorithm One of the oldest and one of the most
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
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
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
