Azure Machine LearningThis third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. ...
WordPress Plugin Development Cookbook, 3rd EditionWordPress is one of the most widely used, powerful, and open content management systems (CMSs). Whether you're a site owner trying to find the right extension, a developer who wants to contribute to the community, or a website developer working to fulfill a client's needs, learning how to extend WordPress' capabilities will help you to unleash its full potential. This book will help you become familiar with API functions to create secure plugins with easy-to-use administration interfaces.
This 3rd edition contains new recipes and up-to-date code samples, including new chapters on creating custom blocks for the block editor and integrating data from external sources. From one chapter to the next, you'll learn how to create plugins of varying complexity, ranging from a few lines of code to complex extensions that provide intricate new capabilities. You'll start by using the basic mechanisms provided in WordPress to create plugins, followed by recipes covering how to design administrat ...
Machine Learning for Streaming Data with PythonStreaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data.
You will first learn about the architecture for streaming and real-time machine learning. Next, you will look at the state-of-the-art frameworks for streaming data like River. Later chapters will focus on various industrial use cases for streaming data like Online Anomaly Detection and others. As you progress, you will discover various challenges and learn how to mitigate them. In addition to this, you will learn best practices that will help you use streaming data to generate real-time insights.
By the end of this book, you will have gained the confidence you need to stream ...
The Kubernetes Operator Framework BookFrom incomplete collections of knowledge and varying design approaches to technical knowledge barriers, Kubernetes users face various challenges when developing their own operators. Knowing how to write, deploy, and pack operators makes cluster management automation much easier - and that's what this book is here to teach you.
Beginning with operators and Operator Framework fundamentals, the book delves into how the different components of Operator Framework (such as the Operator SDK, Operator Lifecycle Manager, and OperatorHub.io) are used to build operators. You'll learn how to write a basic operator, interact with a Kubernetes cluster in code, and distribute that operator to users. As you advance, you'll be able to develop a sample operator in the Go programming language using Operator SDK tools before running it locally with Operator Lifecycle Manager, and also learn how to package an operator bundle for distribution. The book covers best practices as well as sample applications ...
Active Directory Administration Cookbook, 2nd EditionUpdated to the Windows Server 2022, this 2nd edition covers effective recipes for Active Directory administration that will help you leverage AD's capabilities for automating network, security, and access management tasks in the Windows infrastructure.
Starting with a detailed focus on forests, domains, trusts, schemas, and partitions, this book will help you manage domain controllers, organizational units, and default containers. You'll then explore Active Directory sites management as well as identify and solve replication problems. As you progress, you'll work through recipes that show you how to manage your AD domains as well as user and group objects and computer accounts, expiring group memberships, and Group Managed Service Accounts (gMSAs) with PowerShell. Once you've covered DNS and certificates, you'll work with Group Policy and then focus on federation and security before advancing to Azure Active Directory and how to integrate on-premise Active Directory with Azure AD. F ...
Python for ArcGIS ProIntegrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.
Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python.
You'll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earli ...
Bayesian Methods for Statistical AnalysisBayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks. ...
Practical C++ Design, 2nd EditionGo from competent C++ developer to skilled designer or architect using this book as your personal C++ design master class. Updated for the C++20 standard, this title will guide you through the design and implementation of an engaging case study that forms the backdrop for learning the art of applying design patterns and modern C++ techniques to create a high quality, robust application.
Starting with a quick exploration of the requirements for building the application, you'll delve into selecting an appropriate architecture, eventually designing and implementing all of the necessary modules to meet the project's requirements. By the conclusion of Practical C++ 20 Design, you'll have constructed a fully functioning calculator capable of building and executing on any platform that supports both Qt and C++20. Access to the complete source code will help speed your learning.
Utilize the Model-View-Controller pattern as the basis for the architecture of the calculator; the observer ...
Beginning MicroPython with the Raspberry Pi PicoProgram the Raspberry Pi Pico, the latest microcontroller board from raspberrypi.org, with MicroPython. This book will take you on a tour of the Raspberry Pi Pico, including how to get started using the microcontroller, seeing which alternative microcontrollers are available, and how to connect and run simple code examples.
You'll program example projects in MicroPython using Python on your PC as a learning platform. Then build your hardware skillset working with electronics and breadboard circuits. You'll implement example projects with all steps explained, including hardware connections and executing the project. Then apply them to real-world, approachable projects using the accessible Raspberry Pi Pico!
The book shows how the cloud is used for IoT data and find out what popular cloud systems currently exist for IoT. Finally, you'll use ThingSpeak for hosting IoT data including connecting your Pico to the Internet.
Beginning MicroPython with the Raspberry Pi Pico allows y ...
Software Development Activity CyclesThe principal benefit this book is to provide a holistic and comprehensible view of the entire software development process, including ongoing evolution and support. It treats development as a collaborative effort with triad communication between a tester, a programmer, and a representative from the user community or a Subject Matter Expert (SME). Progress is measured by user acceptance in each cycle before proceeding to the next step of an activity. There is no test stage in the DPAC model: continuous testing is represented in the backswing (Check Phase) of each activity cycle.
This approach posits that there exists some "happy path" that represents the intent of the project as declared by the objectives of a Vision Statement, and that this path can be revealed by an iterative and incremental process of "freeing the statue from the stone." As the image of this path unfolds, more waste is removed while retaining conceptual integrity.
The example presented herein walks the reade ...