August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Assessing data quality
As we have repeated several times throughout the book, and particularly in Chapter 9, Evaluating Algorithms, the choice of algorithm is undoubtedly important, but the selection of data is even more crucial for the achievement of our objectives.
In many cases, it is even preferable to use more data to feed a non-optimal algorithm, rather than trying to optimize the algorithm.
It is therefore particularly important to make sure that the data used is reliable, as well as available in sufficient quantities to train our algorithms.
One of the tasks performed by the data quality process is therefore the verification of the presence of bias within the sample datasets (not to be confused with the bias concerning the algorithms, ...
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