December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Density estimation problems
Density estimation problems are statistical learning methods used in machine learning estimations from dense data that is otherwise unobservable. Technically, density estimation is the technique of computing the probability of the density function. Density estimation can be applied on path-parametric and non-parametric data. Medical analysis often uses these techniques for identifying symptoms related to diseases from a very large population. The following diagram shows the density estimation graph:
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