Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
If you’ve heard the buzz about Library 2.0, but don’t quite understand how to implement it, you’ve come to the right place. The Internet is full of helpful webinars, presentations, and tutorials designed to help you take your library to the next level, and we’ve highlighted some of the most useful of these here. Read on to learn how your library can get with the times.
It is my pleasure to announce here the first episode of Semantic Web Gang - a podcast focused exclusively on Semantic Web. The gang is put together by Paul Miller, an evangelist from Talis and includes Tom Heath, also from Talis, Greg Boutin from stealth mode startup in Canada, Mills Davis of Project 10X, Daniel Lewis of OpenLink, Thomas Tague of Reuters and yours truly.
Wenn digitale Daten Jahrzehnte und Jahrhunderte überdauern sollen, ist eine ausgefeilte Strategie nötig. Ein Handbuch fasst jetzt den aktuellen Entwicklungsstand zusammen.
"As developers, we have more and more JavaScript libraries to choose from and, of course, the option not to use any at all. Over time, we each tend to favor one method of coding over another. For those who’d like to learn more about jQuery, one of the more popular libraries, here’s a crash course written with code-savvy web designers in mind."