Machine learning and data science are very popular right now and are fast-moving targets. I have worked with Python and data for most of my career and wanted to have a physical book that could provide a reference for the common methods that I have...
This book is a reference manual to guide you through the process of learning Python and how to use it in modern computer applications, such as data science, artificial intelligence, physical computing, and robotics. If you are looking to learn a...
This book is all about finding buffer overflow vulnerabilities, crafting your own shellcode from scratch, learning the security mechanisms of the operating system, and exploit development. You will understand how systems can be bypassed both at the...
Software testing is an important phase in the software-development cycle.
Well-tested software that is free of bugs is the goal of the software developer and
the expectation of the user. Today’s world has “gone digital” and offers services...
The book will guide you on how to perform a penetration test using the Metasploit
Framework and following the penetration testing execution standard (PTES). Starting with
the basics of information gathering using several auxiliary modules that help...
This book is provided for personal use only. Unauthorized use, reproduction and/or distribution strictly prohibited. All rights reserved.
The content of this book is provided for informational purposes only. Neither the publisher nor the author...
Featured by Tableau as the first of "7 Books About Machine Learning for Beginners."
Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?
Well, hold on there...
Before...