Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
The problem of social integration has been discussed as viewed by the deaf themselves. The viewpoint of hearing members of the society who come into contact with the deaf has also been taken care of. The opinion of the employers about the employability of the non-hearing members of the society especially in the light of their firsthand experience makes this publication a significant contribution in its category. Besides the empirical information and analyses, the details have been illustrated with visual diagrams. To make it more realistic and useful some illustrations of the anatomy of the ear, sign language, etc., are also included in the book
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