• Gain a clear understanding of the attack methods, and patterns to recognize abnormal behavior within your organization with Blue Team tactics.
• Learn to unique...

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables,...

Surviving an incident, or a...

• Understand the concept of Dark Net and Deep Web
• Use Tor to extract data and maintain anonymity
• Develop a security framework using Deep web evidences
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• Understand the Ethereum Ecosystem and its differences from its rich cousin Bitcoin
• Explore the Solidity programming language and smart contract optimizations
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Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

• Comprehensive information on building a web application penetration testing framework using Python
• Master web...