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Factorials, Integers and Mathematical and Binomial Techniques for Machine Learning and Cybersecurity

Chinnaraji Annamalai

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Abstract

Mathematical and combinatorial techniques with nonnegative integers are used as computing algorithms for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In connection with these ideas, this article is prepared for applications in computing science and cybersecurity. This paper presents computing and combinatorial formulae such as theorems in factorials and binomial expansions and probability and binomial distributions.

Topics & Concepts

Binomial (polynomial)Computer scienceConnection (principal bundle)Binomial coefficientNegative binomial distributionNumber theoryTheoretical computer scienceArtificial intelligenceComputer securityDiscrete mathematicsMathematicsStatisticsPoisson distributionGeometryBenford’s Law and Fraud DetectionAdvanced Mathematical Theories and Applications
Factorials, Integers and Mathematical and Binomial Techniques for Machine Learning and Cybersecurity | Litcius