Practical machine learning
a new look at anomaly detection
2014 · 65 pages
About this book
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 example to explain how the underlying concepts of anomaly detection work.
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