5 articles in this selection
| 2009/11/03 IT snake oil: Six tech cure-alls that went bunk
In the land of IT, the one thing you can count on is a slick vendor presentation and a whole lot of hype. Eras shift, technologies change, but the sales pitch always sounds eerily familiar. In virtually every decade there's at least one transformational technology that promises to revolutionize the enterprise, slash operational costs, reduce capital expenditures, align your IT initiatives with your core business practices, boost employee productivity, and leave your breath clean and minty fresh....
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| 2009/08/18 Orange - Data Mining Fruitful & Fun
Orange is a component-based framework for machine learning and data mining, intended for both experienced users and researchers in machine learning who want to develop and test their own algorithms while reusing as much of the code as possible, and for those just entering who can enjoy in powerful while easy-to-use visual programming environment....
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| 2009/08/07 Machine learning classifier gallery
This is the index page of a "machine learning classifier gallery" which shows the results of numerous experiments on machine learning algorithms when applied to two-dimensional patterns. Each row shows a different pattern (or pattern set), described verbally then illustrated on a 2-D grid. These patterns were randomly generated (for the most part) on a 2-D grid of points. The points were then labeled based on where they fell in the pattern. On the right are algorithm classes (instance-space, rule + tree, etc.). Clicking on one of these takes you to a page showing different samples (size 50 to 1000) of the target pattern and the hypotheses generated from it by the various algorithms. Clicking on any diagram will show it to you at full resolution. Hovering over an algorithm name (eg, pyriel-2) will describe briefly what the algorithm is and exactly what arguments it was invoked with....
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| 2009/08/07 Weka 3
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....
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| 2009/06/16 Weka 3 - Data Mining with Open Source Machine Learning Software in Java
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. Weka is open source software issued under the GNU General Public License....
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