Finding Data Anomalies You Didn't Know to Look For 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. From banking security to natural
sciences, medicine, and marketing, anomaly detection has many useful
applications in this age of big data. And the search for anomalies will
intensify once the Internet of Things spawns even more new types of data.