Windows Forensics Analyst Field Guide. Engage in proactive cyber defense using digital forensics techniques

Muhiballah Mohammed

In this digitally driven era, safeguarding against relentless cyber threats is non-negotiable. This guide will enable you to enhance your skills as a digital forensic examiner by introducing you to cyber challenges that besiege modern entities. It will help you to understand the indispensable role adept digital forensic experts play in preventing these threats and equip you with proactive tools to defend against ever-evolving cyber onslaughts.The book begins by unveiling the intricacies of Windows operating systems and their foundational forensic artifacts, helping you master the art of streamlined investigative processes. From harnessing opensource tools for artifact collection to delving into advanced analysis, you’ll develop the skills needed to excel as a seasoned forensic examiner. As you advance, you’ll be able to effortlessly amass and dissect evidence to pinpoint the crux of issues. You’ll also delve into memory forensics tailored for Windows OS, decipher patterns within user data, and log and untangle intricate artifacts such as emails and browser data.By the end of this book, you’ll be able to robustly counter computer intrusions and breaches, untangle digital complexities with unwavering assurance, and stride confidently in the realm of digital forensics.

Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers.This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you become familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in scientific research. Toward the end, you’ll gain insight into what’s in store for reinforcement learning.By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow.

SketchBook Pro Digital Painting Essentials. Explore the styles and capabilities of Sketchbook Pro with this excellent guide to the essentials of digital painting. In no time, you'll be bringing your own unique creativity to the virtual easel or drawing pad

Gil Robles

Sketchbook Pro is a professional grade painting app that is easy to use and which helps you create digital art that looks like paintings created using ink and color. Using Sketchbook Pro, you can transform your digital art into true masterpieces that resemble work done using traditional mediums.SketchBook Pro Digital Painting Essentials will show you how to transform your digital art into true masterpieces. This book will guide you through the many tools and options available in Sketchbook Pro such as the symmetry tool, layer editor, and blend modes to create images that look as though they were done by hand using traditional tools and mediums. This unique book offers inspiration with hands-on techniques and gives you an insight into a professional artist's mind.Starting with an overview of the program, this book will help you customize and set your preferences to help you produce the best possible images for use on the Web or for print. You will be able to look over the author's shoulder as he demonstrates the use of the tools to create artwork that looks like it was painted or inked. This book will then show you how you can draw basic illustrations and then how to create acrylic paintings. You will also learn about file saving options; which ones are best for what you intend to do with the artwork. The book will also show you how to export the images you've created to other software and will give you tips and tricks that will help you make the most out of Sketchbook Pro. SketchBook Pro Digital Painting Essentials will give you an extensive overview complete with supporting imagery of how each piece of art was made, and by the end of this book, you will have created multiple drawings using Sketchbook Pro.

LLVM Essentials. Become familiar with the LLVM infrastructure and start using LLVM libraries to design a compiler

Mayur Pandey, Suyog Sarda, David Farago

LLVM is currently the point of interest for many firms, and has a very active open source community. It provides us with a compiler infrastructure that can be used to write a compiler for a language. It provides us with a set of reusable libraries that can be used to optimize code, and a target-independent code generator to generate code for different backends. It also provides us with a lot of other utility tools that can be easily integrated into compiler projects.This book details how you can use the LLVM compiler infrastructure libraries effectively, and will enable you to design your own custom compiler with LLVM in a snap.We start with the basics, where you’ll get to know all about LLVM. We then cover how you can use LLVM library calls to emit intermediate representation (IR) of simple and complex high-level language paradigms. Moving on, we show you how to implement optimizations at different levels, write an optimization pass, generate code that is independent of a target, and then map the code generated to a backend. The book also walks you through CLANG, IR to IR transformations, advanced IR block transformations, and target machines. By the end of this book, you’ll be able to easily utilize the LLVM libraries in your own projects.

jQuery Mobile Cookbook. Over 80 recipes with examples and practical tips to help you quickly learn and develop cross-platform applications with jQuery Mobile book and

Chetan Jain

jQuery Mobile is an award winning, HTML5/CSS3 based open source cross-platform UI framework. It offers a very cool and highly customizable UX. It is built on the popular jQuery library and uses declarative coding making it easy to use and learn. It is the market leader today considering the numerous browsers and platforms that it supports.jQuery Mobile Cookbook presents over a hundred recipes written in a simple and easy manner. You can quickly learn and start writing code immediately. Advanced topics such as using scripts to manipulate, customize, and extend the framework are also covered. These tips address your common everyday problems. The book is very handy for both beginner and experienced jQuery Mobile developers.You start by developing simple apps using various controls and learn to customize them. Later you explore using advanced aspects like configurations, events, and methods.Develop single and multi-page applications. Use caching to boost performance. Use custom transitions, icon sprites, styles, and themes. Learn advanced features like configurations, events, and methods. Explore future trends by using HTML5 new features and semantics with jQuery Mobile.jQuery Mobile Cookbook is an easy read and is packed with practical tips and screenshots.

Penetration Testing with BackBox. This tutorial will immerse you in the fascinating environment of penetration testing. Thoroughly practical and written for ease of understanding, it will give you the insights and knowledge you need to start using BackBox

Stefan Umit Uygur

Joomla! 3 Beginner's Guide. Build, develop, and manage a fully functioning, professional looking, and feature-rich website with the Joomla! CMS

Eric Tiggeler

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu

Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts by highlighting the basic building blocks of the natural language processing domain.The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search.By the end of this book, you will not only have sound knowledge of natural language processing, but also be able to select the best text preprocessing and neural network models to solve a number of NLP issues.