It takes the average reader 4 hours and 36 minutes to read Deep Learning Techniques for IoT Security and Privacy by Mohamed Abdel-Basset
Assuming a reading speed of 250 words per minute. Learn more
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
Deep Learning Techniques for IoT Security and Privacy by Mohamed Abdel-Basset is 273 pages long, and a total of 69,069 words.
This makes it 92% the length of the average book. It also has 84% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 17 minutes to read Deep Learning Techniques for IoT Security and Privacy aloud.
Deep Learning Techniques for IoT Security and Privacy is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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