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Introduction to Machine Learning for TRITON AP-DATA
Introduction to Machine Learning for TRITON AP-DATA
Machine Learning | TRITON AP-DATA | v8.3.x | 15-Dec-2016
Machine learning is a branch of artificial intelligence, comprising algorithms and techniques that allow computers to learn from examples instead of pre-defined rules. As a user of Forcepoint™ TRITON® AP-DATA, you can provide examples that train the machine learning system to help protect your organization's information. After training, the system creates a classifier that classifies documents based on how similar they are to your examples.
Machine learning offers advantages and disadvantages compared with other Forcepoint data classification methods. It is important to assess whether machine learning is the best solution for your particular circumstances. This article offers a general introduction and looks at the types of data that can be effectively protected using machine learning.
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Machine learning basics
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Knowing when to use machine learning
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How Forcepoint machine learning works
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Selecting examples for training
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What happens during training
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Accuracy of machine learning
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Using the classifier
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Tuning the classifiers
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Comparison with other types of classifiers
For more information on how to use machine learning, see the following:
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Data Security Manager Help
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Using Machine Learning for Optimal Data Loss Prevention (video)
 
 

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Introduction to Machine Learning for TRITON AP-DATA
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