December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Non-systematic models
These are time series models that lack the presence of seasonal properties and thus cannot be easily modeled. They are haphazard data points marked against time and lack any trend, level, or seasonality. Such models are abundant in noise. Often inaccurate data collection schemes are responsible for such data patterns. Heuristic models can be used such non-systematic models.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.