August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Fine-tuning hyperparameters
While fine-tuning algorithm hyperparameters, we must keep in mind that there is no configuration that can be used in all cases; however, we must perform optimization on the basis of different scenarios we face, taking into account the different goals we want to achieve.
The fine tuning of hyperparameters presupposes in-depth knowledge of the algorithm and its characteristics, in addition to the knowledge of the application domain (scenarios and use cases) in which our solution is deployed.
Moreover, fine-tuning must also take into consideration the possible impact caused by changes in input data (as we saw in Chapter 3, Ham or Spam? Detecting Email Cybersecurity Threats with AI, with regard to phishing detection, ...
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