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Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.
If you‘re fascinated by the complexities of animating video game characters and are curious about the transformation of model files into 3D avatars and NPCs that can explore virtual worlds, then this book is for you. In this new edition, you’ll find expanded content on high-performance graphics and modern animation techniques, along with improved workflows and enhanced guidance on using OpenGL and Vulkan. You’ll learn everything you need to know about game animation, from a simple graphical window to a large crowd of smoothly animated characters.First, you’ll learn how to use modern high-performance graphics, dig into the details of how virtual characters are stored, and load the models and animations into a minimalistic game-like application. Then, you’ll get an overview of the components of an animation system, how to play the animations and combine them, and how to blend from one animation into another. You’ll also get an introduction to topics that will make your programming life easier, such as debugging your code or stripping down the graphical output.By the end of this book, you’ll have gained deep insights into all the parts of game animation programming and how they work together, revealing the magic that brings life to the virtual worlds on your screen.
Jeremy Thomas, Oleksii Potiekhin, Mikko Lauhakari, Aslam Shah, ...
Bulma is a lightweight configurable CSS framework that handles all the hard work of Flexbox for you. Bulma makes creating web interfaces an easy and interesting job.This book begins with an overview of the basics of Bulma ? its terms and its concepts. Then, while designing a login page for your application, you’ll learn how to use the various tools provided by Bulma to create HTML forms and control their layout and flow. In the later chapters, you’ll design an admin area for your application, thus learning to use Bulma’s navigation and menu components. You will also add the components to your user interface for common things such as boxes, lists, and media groups, and then create pagination. As you progress through the book, you’ll create and layout some other components for your interface, including tables, design dropdown lists, and finally to integrate your web application with JavaScript. By the end of this book, you’ll be able to use the features of Bulma to your advantage and build web interfaces quickly and easily.
Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain.We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform
Harpreet Singh, Himanshu Sharma
Metasploit has been a crucial security tool for many years. However, there are only a few modules that Metasploit has made available to the public for pentesting web applications. In this book, you'll explore another aspect of the framework – web applications – which is not commonly used. You'll also discover how Metasploit, when used with its inbuilt GUI, simplifies web application penetration testing. The book starts by focusing on the Metasploit setup, along with covering the life cycle of the penetration testing process. Then, you will explore Metasploit terminology and the web GUI, which is available in the Metasploit Community Edition. Next, the book will take you through pentesting popular content management systems such as Drupal, WordPress, and Joomla, which will also include studying the latest CVEs and understanding the root cause of vulnerability in detail. Later, you'll gain insights into the vulnerability assessment and exploitation of technological platforms such as JBoss, Jenkins, and Tomcat. Finally, you'll learn how to fuzz web applications to find logical security vulnerabilities using third-party tools. By the end of this book, you'll have a solid understanding of how to exploit and validate vulnerabilities by working with various tools and techniques.
Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects.The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices.Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.