Practical Cybersecurity Architecture. A guide to creating and implementing robust designs for cybersecurity architects

Ed Moyle, Diana Kelley

Cybersecurity architects work with others to develop a comprehensive understanding of the business' requirements. They work with stakeholders to plan designs that are implementable, goal-based, and in keeping with the governance strategy of the organization.With this audiobook, you'll explore the fundamentals of cybersecurity architecture: addressing and mitigating risks, designing secure solutions, and communicating with others about security designs. The book outlines strategies that will help you work with execution teams to make your vision a concrete reality, along with covering ways to keep designs relevant over time through ongoing monitoring, maintenance, and continuous improvement. As you progress, you'll also learn about recognized frameworks for building robust designs as well as strategies that you can adopt to create your own designs.By the end of this audiobook, you will have the skills you need to be able to architect solutions with robust security components for your organization, whether they are infrastructure solutions, application solutions, or others.

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker

Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book.By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.

Administering ArcGIS for Server. ArcGIS for Server may be relatively new technology, but it doesn’t have to be daunting. This book will take you step by step through the whole process, from customizing the architecture to effective troubleshooting

Hussein Nasser

A Tinkerer's Guide to CNC Basics. Master the fundamentals of CNC machining, G-Code, 2D Laser machining and fabrication techniques

Samer Najia

Until recently, Computer Numerical Control (CNC) machines belonged to the realm of heavy industry, but as technology becomes cheaper and smaller, these machines now can be used in home workshops. It’s not easy to get started, though, but thanks to this guide, you’ll be ready to take on a variety of projects in no time.A Tinkerer’s Guide to CNC Basics contains everything you need to get set up at home with computer-controlled machining and fabrication. Sparing you the theory, this project-laden guide helps you learn by doing.Once you’ve got to grips with the principles of CNC and installed the 3018 Pro CNC machine, you’ll gradually move from simple projects such as basic engraving to more complex milling and machining techniques. You’ll even learn how to upgrade your machine to accomplish more sophisticated designs. The plethora of projects in this book will keep you busy and give you the practice you need to get started with your computerized workshop.By the end of the book, your computerized home workshop will be one step closer to realization, and your machining skills will be taken to the next level.

R: Unleash Machine Learning Techniques. Smarter data analytics

Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali

R is the established language of data analysts and statisticians around the world. And you shouldn’t be afraid to use it…This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you’ll get to grips with the fundamentals of R. This means you’ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.For the following two modules we’ll begin to investigate machine learning algorithms in more detail. To build upon the basics, you’ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they’re all focused on solving real problems in different areas, ranging from finance to social media.This Learning Path has been curated from three Packt products:• R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar• Machine Learning with R - Second Edition By Brett Lantz• Mastering Machine Learning with R By Cory Lesmeister

Low Poly 3D Modeling in Blender. Kickstart your career as a 3D artist by learning how to create low poly assets and scenes from scratch

Samuel Sullins

Step into the world of low poly 3D art with Low Poly 3D Modeling in Blender—your entry point into Blender and mastering the fundamentals of 3D art. This beginner-friendly guide ensures that you’re fully prepared for the creative adventure that follows.Through a step-by-step learning process starting with the principles of low poly art, this book gradually immerses you in the intricacies of modeling. As you progress, you’ll gain hands-on experience creating diverse projects ranging from designing a simple 3D crate to rendering complete low poly scenes. The book covers a wide spectrum of topics as you navigate Blender's interface, mastering essential modeling tools and exploring both basic and advanced modeling techniques. Advancing to the final chapters, you’ll find ways to breathe life into your models with material creation and gain practical insights into modeling a variety of low poly objects. From end-to-end scene construction to configuring Blender for rendering high-quality images, you’ll be equipped with the foundational skills to propel your career in 3D modeling and explore the boundless creative possibilities that Blender offers.By the end of this book, you'll have a solid understanding of Blender, 3D modeling, low poly methodologies, material design, 3D rendering techniques, and the broader world of 3D art.

Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition

Amita Kapoor, Antonio Gulli, Sujit Pal, François Chollet

Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments.This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.

SwiftUI Essentials - iOS Edition. Learn to Develop iOS Apps using SwiftUI, Swift 5 and Xcode 11

Neil Smyth

Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment and introduced you to Swift Playgrounds so that you can learn and experiment with Swift.You’ll begin with an introduction to the key concepts of SwiftUI and its architecture. You’ll learn how to create customer SwiftUI views and combine them to create user interface layouts including how to use stacks, frames, and forms. As you progress, you’ll learn how to handle data using state properties. You’ll also learn how to use graphics, animation, transitions, and gestures in your user interface. The book finishes by explaining how to package an application and upload it to the App Store for publication.By the end of the book, you’ll have all the necessary skills to develop your own applications for iOS 13 with SwiftUI, Swift 5, and Xcode 11.