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About this document

Big Data & Deep Learning in Cybersecurity by mamakemrosly is a document available to read on EtoBox.

The document outlines a course on Big Data and Deep Learning for Cybersecurity, divided into two parts: the first focusing on deep learning concepts and practical applications, while the second covers big data analytics, technology landscape, and MongoDB. Key topics include neural networks, optimization techniques, Hadoop, and MapReduce programming. The course includes practical sessions and references notable textbooks in the field.

Author
mamakemrosly
Language
EN