Practical Machine Learning: A New Look at Anomaly Detection by Ted Dunning, Ellen Friedman
English | September 6th, 2014 | ISBN: 1491911603 | 65 pages | True PDF | 10.40 MB
Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.