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With the increasing amount of data that are generated everyday worldwide, there can be security problems with them. So, we have to extend the security needs beyond the traditional approach which emerges the field of cybersecurity. In the first chapter we describe some of the techniques of Deep learning for cybersecurity. Sentiment analysis is a machine learning tool that analyzes texts for polarity, from positive to negative. In the second chapter we have given an application example of sentiment analysis using R, mainly, that of the Tolstoy's book, "Anna Karenina". For our analysis, we have...

This book is a collection of nine papers which are published in the proceedings of some international conferences in which the author has participated and in some international journals, as well. The first on is titled "Some Applications of Machine Learning in Cryptography". In this paper it is pointed out that cryptography and machine learning, from the very beginning, were tightly related with the progress of the new technology. Some other papers are "Mathematics and AI", "Using the Algorithmization in Mathematics Teaching", etc...In the paper "Benefits from Integrating History of...