Machine Learning for Cyber Physical SystemsThis open proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.The EditorsProf. Dr.-Ing. Jurgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on ...
Design for LearningOur purpose in this book is twofold. First, we introduce the basic skill set and knowledge base used by practicing instructional designers. We do this through chapters contributed by experts in the field who have either academic, research-based backgrounds, or practical, on-the-job experience (or both). Our goal is that students in introductory instructional design courses will be able to use this book as a guide for completing a basic instructional design project. We also hope the book is useful as a ready resource for more advanced students or others seeking to develop their instructional design knowledge and skills.
Our second purpose complements the first: to introduce instructional designers to some of the most current views on how the practices of design thinking contribute towards the development of effective and engaging learning environments. While some previous books have incorporated elements of design thinking (for example, processes like prototyping), to date no instruc ...
Mastering Linux Security and Hardening, 3rd EditionThe third edition of Mastering Linux Security and Hardening is an updated, comprehensive introduction to implementing the latest Linux security measures, using the latest versions of Ubuntu and AlmaLinux. In this new edition, you will learn how to set up a practice lab, create user accounts with appropriate privilege levels, protect sensitive data with permissions settings and encryption, and configure a firewall with the newest firewall technologies. You'll also explore how to use sudo to set up administrative accounts with only the privileges required to do a specific job, and you'll get a peek at the new sudo features that have been added over the past couple of years. You'll also see updated information on how to set up a local certificate authority for both Ubuntu and AlmaLinux, as well as how to automate system auditing. Other important skills that you'll learn include how to automatically harden systems with OpenSCAP, audit systems with auditd, harden the Linux kernel configurat ...
Machine Learning with R, 4th EditionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data. You'll also find this classic R data science book updated to R 4.0.0 with newer and better ...
Mastering Windows Server 2022, 4th EditionWritten by a 10-time Microsoft MVP award winner with over 20 years of IT experience, Mastering Windows Server 2022 is a hands-on guide to administer any Windows Server environment. Whether new to the server world or working to keep your existing skills sharp, this book aims to be referenced on a regular basis instead of gathering dust on your shelf. Updated with Server 2022 content, this book covers a wide variety of information pertaining to your role as a server administrator. We will expand upon versions and licensing models for this OS, and explore the 'single pane of glass' administration methodology by utilizing tools like Server Manager, PowerShell, and even Windows Admin Center. This book is primarily focused on Windows Server 2022 LTSC version, but follow along as we discuss the latest news for SAC server releases as this impacts Containers, Nano Server, and general OS release cadence. This book covers a range of remote access technologies, and even teaches management of PKI a ...
Multi-Cloud Strategy for Cloud Architects, 2nd EditionAre you ready to unlock the full potential of your enterprise with the transformative power of multi-cloud adoption? As a cloud architect, you understand the challenges of navigating the vast array of cloud services and moving data and applications to public clouds. But with 'Multi-Cloud Strategy for Cloud Architects, Second Edition', you'll gain the confidence to tackle these complexities head-on. This edition delves into the latest concepts of BaseOps, FinOps, and DevSecOps, including the use of the DevSecOps Maturity Model. You'll learn how to optimize costs and maximize security using the major public clouds - Azure, AWS, and Google Cloud. Examples of solutions by the increasingly popular Oracle Cloud Infrastructure (OCI) and Alibaba Cloud have been added in this edition. Plus, you will discover cutting-edge ideas like AIOps and GreenOps. With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, r ...
Web Development with Blazor, 2nd EditionBlazor is an essential tool if you want to build interactive web apps without JavaScript, but it has a learning curve. Updated with the latest code in .NET 7 and C# 11 and written by someone who adopted Blazor early, this book will help you overcome the challenges associated with being a beginner with Blazor and teach you the best coding practices. You'll start by learning how to leverage the power of Blazor and exploring the full capabilities of both Blazor Server and Blazor WebAssembly. Then you'll move on to the practical part, centered around a sample project - a blog engine. You'll apply all your newfound knowledge about creating Blazor projects, the inner workings of Razor syntax, validating forms, and creating your own components. This new edition also looks at source generators, dives deeper into Blazor WebAssembly with ahead-of-time, and includes a dedicated new chapter demonstrating how to move components of an existing JavaScript (Angular, React) or MVC-based website to Blaz ...
3D Environment Design with BlenderBlender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural en ...
The Essence of MathematicsIt is increasingly clear that the shapes of reality - whether of the natural world, or of the built environment - are in some profound sense mathematical. Therefore it would benefit students and educated adults to understand what makes mathematics itself 'tick', and to appreciate why its shapes, patterns and formulae provide us with precisely the language we need to make sense of the world around us. The second part of this challenge may require some specialist experience, but the authors of this book concentrate on the first part, and explore the extent to which elementary mathematics allows us all to understand something of the nature of mathematics from the inside.
The Essence of Mathematics consists of a sequence of 270 problems - with commentary and full solutions. The reader is assumed to have a reasonable grasp of school mathematics. More importantly, s/he should want to understand something of mathematics beyond the classroom, and be willing to engage with (and to reflect up ...
Managing Cloud Native Data on KubernetesIs Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.
Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You'll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.
- Learn how to use basic Kubernetes resources to compose data infrastructure
- Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and o ...