Elder Research
By: Victoria Garment, Content Editor, Software Advice
As featured on Software Advice's
Plotting Success blog
Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information.
(Part 4 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) It is very important to have the right project goal; that is, to aim at...
(Part 3 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (elder datamininglab com) “To a little boy with a hammer, all...
I quit my job as a Mathematical Statistician after one year and two days. I left behind great benefits, job security, and guaranteed raises entirely because I felt unfulfilled. I was bored, lacked a sense of a...
Big Data is not a singular concept but rather a label for a range of data issues. A few months ago I wrote an article about the Volume, Velocity, and Variety (and other “V’s”) of big...
It's like an irritating fly buzzing around your head – "Big Data". Do I have to hear the term one more time? As a Data Scientist who interacts with hard data problems on a daily basis, the...
Mining data to extract useful and enduring patterns remains a skill arguably more art than science. Pressure enhances the appeal of early apparent results, but it is all too easy to fool oneself. How can one resist...