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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Summarizing large data using principal component analysis

Suppose that you would like to build a predictor for an individual's expected net fiscal worth at age 45. There are a huge number of variables to be considered: IQ, current fiscal worth, marriage status, height, geographical location, health, education, career state, age, and many others you might come up with, such as number of LinkedIn connections or SAT scores.

The trouble with having so many features is several-fold. First, the amount of data, which will incur high storage costs and computational time for your algorithm. Second, with a large feature space, it is critical to have a large amount of data for the model to be accurate. That's to say, it becomes harder to distinguish ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content