Why might an off-the-shelf anomaly detection technique not work in practice?
See examples of the many traps you can fall into if you use off-the-shelf anomaly detection techniques.
Off-the-shelf anomaly detection techniques carry the baggage – and traps – of their underlying assumptions. Master statistician Arun Kejariwal demonstrates the flaws of such techniques, teaches you the necessity of always validating assumptions, and shows you why you should keep off-the-shelf off your shelf.
Learn to recognize and overcome common problems in anomaly detection techniques and more in this Safari course from Arun Kejariwal that explains what really works (and doesn’t work) in today’s state-of-the-art anomaly detection systems.