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Podcasty
If you are familiar with modeling, this book will help you discover a practical and efficient workflow designed to accelerate your asset creation process for use in multiple projects, including games and the metaverse.Complete with shortcuts and tips on how to speed up the process, this book guides you in modeling assets and characters with the help of references. You’ll learn how to optimize the modeled asset for maximum rendering performance within game engines and the metaverse. Next, you’ll get to grips with unwrapping the 3D model for texturing and explore multiple texturing techniques to breathe life into your 3D models. Finally, you’ll integrate the 3D model to work seamlessly across a myriad of programs and game engines.By the end of this book, you’ll have the skills to efficiently create any type of 3D asset from scratch for use in renders, animations, or immersive gaming experiences.
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
George Kyriakides, Konstantinos G. Margaritis
Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior predictive power. This book will demonstrate how you can use a variety of weak algorithms to make a strong predictive model.With its hands-on approach, you'll not only get up to speed with the basic theory but also the application of different ensemble learning techniques. Using examples and real-world datasets, you'll be able to produce better machine learning models to solve supervised learning problems such as classification and regression. In addition to this, you'll go on to leverage ensemble learning techniques such as clustering to produce unsupervised machine learning models. As you progress, the chapters will cover different machine learning algorithms that are widely used in the practical world to make predictions and classifications. You'll even get to grips with the use of Python libraries such as scikit-learn and Keras for implementing different ensemble models.By the end of this book, you will be well-versed in ensemble learning, and have the skills you need to understand which ensemble method is required for which problem, and successfully implement them in real-world scenarios.
Monitoring increasingly complex IT environments can pose quite a challenge. Virtualization and cloud-based applications are finding their way into many IT estates over the world. Keeping a watchful eye out for your infrastructure is now more important than ever, and Opsview allows you to do just that.Monitoring with Opsview is a practical guide to the entire Opsview product range, consisting of various examples and screenshots to help you get up and running with Opsview. This book will show you the powerful features and modules available in Opsview, and will help you create an Opsview-based monitoring system suited for your needs.Starting with the installation of your own Opsview Core system, we will then go through the basic configuration followed by the various special features of the system, using practical examples to show how we can make use of these features. After covering the Core system, we will later look at the Pro and Enterprise offerings and how their additional features can benefit you.You will learn about the unique features of Opsview like viewing (and interacting with) your IT estate from mobile devices like smartphones and tablets, creating special views with keywords, and using templates for fast configurations. From there, we will move on to the Pro and Enterprise systems, looking at the powerful modules available like distributed monitoring and reporting, and finishing it all off with a discussion of the eye-catching dashboards.Monitoring with Opsview will show you the power of the Opsview system, keywords, attributes, dashboards, and all the tools you need to get that single view into your entire IT estate.
Bhavik Merchant, Christopher Webb
This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture.Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues.Complete with explanations of essential concepts and practical examples, you’ll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You’ll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you’ll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You’ll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing.By the end of this Power BI book, you’ll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.
Ubuntu is one of the most secure operating systems and defines the highest level of security as compared other operating system. Ubuntu server is a popular Linux distribution and the first choice when deploying a Linux server. It can be used with a $35 Raspberry Pi to top-notch, thousand-dollar-per-month cloud hardware. Built with lists that there are 4 million + websites built using Ubuntu. With its easy-to-use package management tools and availability of well-known packages, we can quickly set up our own services such as web servers and database servers using Ubuntu.This book will help you develop the skills required to set up high performance and secure services with open source tools. Starting from user management and an in-depth look at networking, we then move on to cover the installation and management of web servers and database servers, as well as load balancing various services. You will quickly learn to set up your own cloud and minimize costs and efforts with application containers. Next, you will get to grips with setting up a secure real-time communication system. Finally, we’ll explore source code hosting and various collaboration tools. By the end of this book, you will be able to make the most of Ubuntu’s advanced functionalities.
Amit Malik, Daman Kaur, Raja N
With all the options available for deploying infrastructure on multi-cloud platforms and on-premises comes the complexity of managing it, which is adeptly handled by Azure Arc. This book will show you how you can manage environments across platforms without having to migrate workloads from on-premises or multi-cloud to Azure every time.Implementing Hybrid Cloud with Azure Arc starts with an introduction to Azure Arc and hybrid cloud computing, covering use cases and various supported topologies. You'll learn to set up Windows and Linux servers as Arc-enabled machines and get to grips with deploying applications on Kubernetes clusters with Azure Arc and GitOps. The book then demonstrates how to onboard an on-premises SQL Server infrastructure as an Arc-enabled SQL Server and deploy and manage a hyperscale PostgreSQL infrastructure on-premises through Azure Arc. Along with deployment, the book also covers security, backup, migration, and data distribution aspects. Finally, it shows you how to deploy and manage Azure's data services on your own private cloud and explore multi-cloud solutions with Azure Arc.By the end of this book, you'll have a firm understanding of Azure Arc and how it interacts with various cutting-edge technologies such as Kubernetes and PaaS data services.
Take the first step toward excellence in Azure management and earning your Microsoft certification with this hands-on guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and step-by-step instructions that follow the latest AZ-104 exam objectives. You’ll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and monitoring Azure resources. Each chapter includes practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, helping you assess your readiness and boost your confidence before the exam.By the end of this book, you won’t just be prepared to pass the AZ-104 exam – you’ll also have the expertise needed to efficiently manage Azure environments in real-world scenarios.
Michelle M Fernandez, Michelle M. Fernandez, Anscamobile
Corona SDK is the fastest and easiest way to create commercially successful cross platform mobile games. Just ask Robert Nay, a 14 year old who created Bubble Ball - downloaded three million times, famously knocking Angry Birds off the top spot. You don't need to be a programming veteran to create games using Corona. Corona SDK is the number one tool for creating fun, simple blockbuster games. Assuming no experience at all with programming or game development you will learn the basic foundations of Lua and Corona right through to creating several monetized games deployable to Android and Apple stores. You will begin with a crash course in Lua, the programming language underpinning the Corona SDK tool. After downloading and installing Corona and writing some simple code you will dive straight into game development. You will start by creating a simple breakout game with controls optimized for mobile. You will build on this by creating two more games incorporating different features such as falling physics. The book ends with a tutorial on social network integration, implementing in app purchase and most important of all monetizing and shipping your game to the Android and App stores.
Practical gRPC. Build highly-connected systems with a framework that can run on any platform
Joshua B. Humphries, David Konsumer, David Muto, Robert Ross, ...
While building systems that contain several components, you need a framework that is fast and has minimal network overhead. gRPC is one such open-source tool that is quickly becoming popular and gaining popularity with programmers.Practical gRPC introduces you to gRPC and explains how it compares and contrasts with similar technologies. You’ll be introduced to key technologies such as Protocol Buffers, and work your way up from basic gRPC usage, all the way through to its more advanced capabilities. You’ll learn the best practices for defining and evolving your gRPC APIs, and discover how different tools can be leveraged to get the most out of gRPC and even extend it.By the end of this book, you'll have all the information you need to get started building systems with gRPC.
Robb Schiefer Jr., Jonathan Marbutt, Robb Schiefer
Silverlight has revolutionized development using Microsoft technologies. It is an excellent tool for mobile application development. The XAML-based markup and familiar C# code are the perfect combination for building apps efficiently and with minimum hassle.Packed full of recipes containing comprehensive instructions for the tasks required to build modern compelling smartphone apps using Silverlight.Starting with application design and architecture, you will quickly move on to more technical features and APIs you can implement to make your app stand out. You will use the Camera API to scan barcode, location services to pinpoint the user’s GPS coordinates and accelerometer to provide feedback based on movement of the phone. All of these features can be provided in a slick user interface through the power of Silverlight. Animations, behaviors and XAML provide all you need and more.
Microsoft System Center 2012 is a comprehensive IT infrastructure, virtualization, and cloud management platform. With System Center 2012, you can more easily and efficiently manage your applications and services across multiple hypervisors as well as across public and private cloud infrastructures to deliver flexible and cost-effective IT services for your business.This cookbook covers architecture design and planning and is full of deployment tips, techniques, and solutions designed to show users how to improve VMM 2012 in a real world scenario. It will guide you to create, deploy, and manage your own Private Cloud with a mix of Hypervisors: Hyper-V, Vmware ESXi, and Citrix XenServer. It also includes the VMM 2012 SP1 features.This book is a cookbook that covers architecture design, planning and is full of deployment tips, techniques and solutions designed to show users how to improve VMM 2012 in a real world scenario. It will guide you to create, deploy and manage your own Private Cloud with a mix of Hypervisors : Hyper-V, Vmware ESXi and Citrix XenServer.
Jasmeet Bhatia, Kartik Chaudhary
While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google’s unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management.This book is a comprehensive guide that lets you explore Google Vertex AI’s easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you’ll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You’ll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows.By the end of this book, you’ll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.
Georgia Kalyva, George Kavvalakis
With AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure.This book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture.By the end of this book, you’ll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.
Jeff Hendrickson, Travis Wissink
UX analytics is a field that recognizes the significance of understanding human behavior and emotions in designing user experiences. It goes beyond mere metrics and embraces a people-centric approach. With the help of this comprehensive guide, you’ll acquire essential skills, knowledge, and techniques to establish a top-notch UX analytics practice.Unleashing the Power of UX Analytics will equip you with the strategies and tactics necessary to effectively collect, analyze, and interpret data, empowering you to make informed decisions that enhance the overall user experience. It emphasizes the importance of empathy in comprehending user needs and desires, enabling you to create meaningful and impactful design solutions. As you advance, this book walks you through the entire UX analytics process, from setting goals and defining key performance indicators (KPIs) to implementing various research methods and tools. You'll gain insights into user interview best practices, usability testing, and techniques for gathering qualitative and quantitative data.Armed with the knowledge of data analysis and interpretation, you'll be able to uncover patterns, trends, and user preferences to make data-driven decisions.
Service Worker Development Cookbook. Click here to enter text
It would be nice to have web apps that work offline and send push notifications. This is now possible with Service Workers, which can add native-like functionality to your web apps without requiring a download. This book will get your mobile and web apps functioning without Internet connectivity, improve performance and network interaction in order to increase the level of availability, and show you how to build performant applications that seamlessly integrate with third-party APIs.We’ll show you how to add Service Worker functionality to web apps and sites, access offline content through basic and advanced techniques, and build powerful interactive system notifications. We’ll also teach you about cache functionality and assets to provide immediate load even over narrow connections. We conclude by giving you various tips to improve app performance, including the background sync technique. By the end of this book, you’ll know build high performing and faster web and mobile applications with Service Workers.
DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.