Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801. Configure advanced Windows Server services for on-premises, hybrid, and cloud environments

Chris Gill, Shannon Kuehn

Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801 helps you master various cloud and data center management concepts in detail, helping you grow your expertise in configuring and managing Windows Server in on-premises, hybrid, and cloud-based workloads. Throughout the book, you'll cover all the topics needed to pass the AZ-801 exam and use the skills you acquire to advance in your career.With this book, you’ll learn how to secure your on-premises Windows Server resources and Azure IaaS workloads. First, you’ll explore the potential vulnerabilities of your resources and learn how to fix or mitigate them. Next, you'll implement high availability Windows Server virtual machine workloads with Hyper-V Replica, Windows Server Failover Clustering, and Windows File Server.You’ll implement disaster recovery and server migration of Windows Server in on-premises and hybrid environments. You’ll also learn how to monitor and troubleshoot Windows Server environments.By the end of this book, you'll have gained the knowledge and skills required to ace the AZ-801 exam, and you'll have a handy, on-the-job desktop reference guide.

SwiftUI Cookbook. Discover solutions and best practices to tackle the most common problems while building SwiftUI apps

Giordano Scalzo, Edgar Nzokwe

SwiftUI is an innovative and simple way to build beautiful user interfaces (UIs) for all Apple platforms, right from iOS and macOS through to watchOS and tvOS, using the Swift programming language. In this recipe-based book, you’ll work with SwiftUI and explore a range of essential techniques and concepts that will help you through the development process. The recipes cover the foundations of SwiftUI as well as the new SwiftUI 2.0 features introduced in iOS 14. Other recipes will help you to make some of the new SwiftUI 2.0 components backward-compatible with iOS 13, such as the Map View or the Sign in with Apple View.The cookbook begins by explaining how to use basic SwiftUI components. Then, you’ll learn the core concepts of UI development such as Views, Controls, Lists, and ScrollViews using practical implementation in Swift. By learning drawings, built-in shapes, and adding animations and transitions, you’ll discover how to add useful features to the SwiftUI. When you’re ready, you’ll understand how to integrate SwiftUI with exciting new components in the Apple development ecosystem, such as Combine for managing events and Core Data for managing app data. Finally, you’ll write iOS, macOS, and watchOS apps while sharing the same SwiftUI codebase.By the end of this SwiftUI book, you'll have discovered a range of simple, direct solutions to common problems found in building SwiftUI apps.

Building AI Applications with Microsoft Semantic Kernel. Easily integrate generative AI capabilities and copilot experiences into your applications

Lucas A. Meyer

In the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI.Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents.By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.

Cybersecurity Threats, Malware Trends, and Strategies. Learn to mitigate exploits, malware, phishing, and other social engineering attacks

Tim Rains

After scrutinizing numerous cybersecurity strategies, Microsoft’s former Global Chief Security Advisor in this book helps you understand the efficacy of popular cybersecurity strategies and more.Cybersecurity Threats, Malware Trends, and Strategies offers an unprecedented long-term view of the global threat landscape by examining the twenty-year trend in vulnerability disclosures and exploitation, nearly a decade of regional differences in malware infections, the socio-economic factors that underpin them, and how global malware has evolved. This will give you further perspectives into malware protection for your organization. It also examines internet-based threats that CISOs should be aware of.The book will provide you with an evaluation of the various cybersecurity strategies that have ultimately failed over the past twenty years, along with one or two that have actually worked. It will help executives and security and compliance professionals understand how cloud computing is a game changer for them.By the end of this book, you will know how to measure the effectiveness of your organization’s cybersecurity strategy and the efficacy of the vendors you employ to help you protect your organization and yourself.

Mastering Data Mining with Python - Find patterns hidden in your data. Find patterns hidden in your data

Megan Squire

Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.

OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition

Dr. Menua Gevorgyan, Arsen Mamikonyan, Michael Beyeler

OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks.You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks.By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs.

Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems

Gregory Keys, David Whiting

H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You’ll start by exploring H2O’s in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You’ll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You’ll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you’ll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities.By the end of this book, you’ll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.

Symfony 1.3 Web Application Development. Design, develop, and deploy feature-rich, high-performance PHP web applications using the Symfony framework

Tim Bowler, Sensio (Fabien Potencier), Wojciech Bancer

With its flexible architecture, the Symfony framework allows you to build modern web applications and web services easily and rapidly. The MVC components separate the logic from the user interface and therefore make developing, changing, and testing your applications much faster. Using Symfony you can minimize repetitive coding tasks, optimize performance, and easily integrate with other libraries and frameworks.Although this framework contains with many powerful features, most developers do not exploit Symfony to its full potential.This book makes it easy to get started and produce a powerful and professional-looking web site utilizing the many features of Symfony. Taking you through a real-life application, it covers all major Symfony framework features without pushing you into too much theoretical detail, as well as throwing some light on the best practices for rapid application development.This book takes you through detailed examples as well as covering the foundations that you will need to get the most out of the Symfony framework. You will learn to shorten the development time of your complex applications and maintain them with ease. You will create several useful plug-ins and add them to your application and automate common tasks. The book also covers best practices and discussions on security and optimization. You will learn to utilize all major features of this framework by implementing them in your application.By the end, you should have a good understanding of the development features of Symfony (for Propel as well as Doctrine editions), and be able to deploy a high-performance web site quite easily.