Informatyka

Hyperledger Cookbook. Over 40 recipes implementing the latest Hyperledger blockchain frameworks and tools

Xun (Brian) Wu, Chuangfeng Zhang, Zhibin (Andrew)...

Hyperledger is an open-source project and creates private blockchain applications for a range of domains. This book will be your desk reference as you explore common and not-so-common challenges faced while building blockchain networks using Hyperledger services.We'll work through all Hyperledger platform modules to understand their services and features and build end-to-end blockchain applications using various frameworks and tools supported by Hyperledger. This book's independent, recipe-based approach (packed with real-world examples) will familiarize you with the blockchain development cycle. From modeling a business network to integrating with various tools, you will cover it all. We'll cover common and not-so-common challenges faced in the blockchain life cycle. Later, we'll delve into how we can interact with the Hyperledger Fabric blockchain, covering all the principles you need to master, such as chaincode, smart contracts, and much more. We'll also address the scalability and security issues currently faced in blockchain development.By the end of this book, you will be able to implement each recipe to plan, design, and create a full-fledged, private, decentralized application to meet organizational needs.

Hyperparameter Tuning with Python. Boost your machine learning model's performance via hyperparameter tuning

Louis Owen

Hyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular coding languages for machine learning. Alongside in-depth explanations of how each method works, you will use a decision map that can help you identify the best tuning method for your requirements.You’ll start with an introduction to hyperparameter tuning and understand why it's important. Next, you'll learn the best methods for hyperparameter tuning for a variety of use cases and specific algorithm types. This book will not only cover the usual grid or random search but also other powerful underdog methods. Individual chapters are also dedicated to the three main groups of hyperparameter tuning methods: exhaustive search, heuristic search, Bayesian optimization, and multi-fidelity optimization. Later, you will learn about top frameworks like Scikit, Hyperopt, Optuna, NNI, and DEAP to implement hyperparameter tuning. Finally, you will cover hyperparameters of popular algorithms and best practices that will help you efficiently tune your hyperparameter.By the end of this book, you will have the skills you need to take full control over your machine learning models and get the best models for the best results.

Hyper-V 2016 Best Practices. Harness the power of Hyper-V 2016 to build high-performance infrastructures that suit your needs

Romain Serre, Benedict Berger

Hyper-V Server and Windows Server 2016 with Hyper-V provide best-in-class virtualization capabilities. Hyper-V is a Windows-based, very cost-effective virtualization solution with easy-to-use and well-known administrative consoles.This book will assist you in designing, implementing, and managing highly effective and highly available Hyper-V infrastructures. With an example-oriented approach, this book covers all the different tips and suggestions to configure Hyper-V and provides readers with real-world proven solutions. This book begins by deploying single clusters of High Availability Hyper-V systems including the new Nano Server. This is followed by steps to configure the Hyper-V infrastructure components such as storage and network. It also touches on necessary processes such as backup and disaster recovery for optimal configuration. The book does not only show you what to do and how to plan the different scenarios, but it also provides in-depth configuration options. These scalable and automated configurations are then optimized via performance tuning and central management ensuring your applications are always the best they can be.

Hyper-V Best Practices. Equip yourselves with the real-world configurations and best practices of Hyper-V to take full advantage of its virtualization capabilities

Benedict Berger

Hyper-V Network Virtualization Cookbook. Over 20 recipes to ease the creation of new virtual machines in the networking layer using Hyper-V Network Virtualization

Ryan Boud

If you are a virtualization architect, engineer, or administrator who wants to leverage Hyper-V to create virtual networks (virtual data centers), this is the book for you.Prior knowledge of Hyper-V or a similar solution and a good understanding of the end goals of creating a virtual network is required.

iAd Production Beginner's Guide. Create motion-rich, beautiful iAd adverts for iOS devices and incorporate techniques to help boost revenue and brand awareness

Ben Collier

Think of an iAd as a micro-app contained within an app on a user's iPhone or iPad that they've downloaded from the App Store. When the user taps your advert's banner it bursts into life filling the entire screen of their device. iAd Beginner's Guide takes you through the start to finish process of building rich, compelling, interactive iAds. You will learn to create beautiful multi-page ads with store finders, social sharing, 3D images and video galleries.You will create ads that utilize the powerful technologies in the iPhone to make your brand shine. Once you have engaged the user you can carry out targeted advertising campaigns with location-based coupons, store finders and social engagement. Using the iTunes Store you will see how it's even possible to add one-click digital content purchasing right within your ad. Learn how iAd producer manages all the HTML5, JavaScript, and CSS3 behind your iAd. You will be creating emotive, gripping and effective mobile advertising campaigns in no time.

IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI

Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services.You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects.By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise.

IBM Cognos 10 Framework Manager. Full of practical instructions and expert know-how, this book continues where the official manual ends, taking you from the basics into the more advanced features of IBM Cognos Framework Manager in clear, progressive steps

Terence Phillip Curran

IBM Cognos 10 Framework Manager is a complete practical guide to using and getting the best out of this essential tool for modeling your data for use with IBM Cognos Business Intelligence Reporting. With its step-by-step approach, this book is suitable for anyone from a beginner to an expert, complete with tips and tricks for better data modeling.IBM Cognos 10 Framework Manager is a step by step tutorial-based guide; from importing your data to designing and improving your model, and creating your packages while working with other modelers, every step is presented in a logical process.Learn how to use the best design strategy to design your model, create an import layer, a modeling layer, and a presentation layer to make your model easy to maintain. Do you need to design a DMR model? No problem, this book shows you every step. This book can even make working with other users easier - we will show you the methods and techniques for allowing others to work on the same model at the same time. Need to create dynamic data structures to change the way the data is presented to your users so your French users can see the data in French, your German users in German, and your English users in English? You can do all this with parameter maps.IBM Cognos 10 Framework Manager continues where the product manuals end, showing you how to build and refine your project through practical, step by step instructions.