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Titre : TIBCO Spotfire: A Comprehensive Primer Ed. 2 Type de document : e-book Auteurs : Andrew BERRIDGE Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781787121324 Note générale : copyrighted Langues : Anglais (eng) Résumé : Create innovative informatics solutions with TIBCO Spotfire Key Features Get to grips with a variety of TIBCO Spotfire features to create professional applications Use different data and visualization techniques to build interactive analyses. Simplify BI processes and understand data analysis and visualization Book Description The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire® combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers. Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R®, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules. By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently What you will learn Work with Spotfire on its web, Cloud, PC, Mac and mobile clients Deploy Spotfire's suite of visualization types effectively and intelligently Build user-friendly analytics frameworks and analytics applications Explore Spotfire's predictive analytics capabilities Use Spotfire's location analytics capabilities to create interactive spatial analyses Write IronPython scripts with the Spotfire API Learn the different ways Spotfire can be deployed and administered Who this book is for If you are a business intelligence or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book requires no prior knowledge of Spotfire or any basic data and visualization concepts. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88869971 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=485447
Titre : Training Systems Using Python Statistical Modeling Type de document : e-book Auteurs : Curtis MILLER Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781838823733 Note générale : copyrighted Langues : Anglais (eng) Résumé : Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features Get introduced to Python's rich suite of libraries for statistical modeling Implement regression, clustering and train neural networks from scratch Includes real-world examples on training end-to-end machine learning systems in Python Book Description Python's ease of use and multi-purpose nature has led it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book takes you through an exciting journey, of using these libraries to implement effective statistical models for predictive analytics. You'll start by diving into classical statistical analysis, where you will learn to compute descriptive statistics using pandas. You will look at supervised learning, where you will explore the principles of machine learning and train different machine learning models from scratch. You will also work with binary prediction models, such as data classification using k-nearest neighbors, decision trees, and random forests. This book also covers algorithms for regression analysis, such as ridge and lasso regression, and their implementation in Python. You will also learn how neural networks can be trained and deployed for more accurate predictions, and which Python libraries can be used to implement them. By the end of this book, you will have all the knowledge you need to design, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive analytics. What you will learn Understand the importance of statistical modeling Learn about the various Python packages for statistical analysis Implement algorithms such as Naive Bayes, random forests, and more Build predictive models from scratch using Python's scikit-learn library Implement regression analysis and clustering Learn how to train a neural network in Python Who this book is for If you are a data scientist, a statistician or a machine learning developer looking to train and deploy effective machine learning models using popular statistical techniques, then this book is for you. Knowledge of Python programming is required to get the most out of this book. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88871044 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=486559
Titre : Unity Game Optimization Type de document : e-book Auteurs : Dr. Davide AVERSA Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781838556518 Note générale : copyrighted Langues : Anglais (eng) Résumé : Get up to speed with a series of performance-enhancing coding techniques and methods that will help you improve the performance of your Unity applications Key Features Optimize graphically intensive games using the latest features of Unity such as Electronic Clearance Service (ECS) and the Burst compiler Explore techniques for solving performance issues with your VR projects Learn best practices for project organization to save time through an improved workflow Book Description Unity engine comes with a great set of features to help you build high-performance games. This Unity book is your guide to optimizing various aspects of your game development, from game characters and scripts, right through to animations. You'll explore techniques for writing better game scripts and learn how to optimize a game using Unity technologies such as ECS and the Burst compiler. The book will also help you manage third-party tooling used with the Unity ecosystem. You'll also focus on the problems in the performance of large games and virtual reality (VR) projects in Unity, gaining insights into detecting performance issues and performing root cause analysis. As you progress, you'll discover best practices for your Unity C# script code and get to grips with usage patterns. Later, you'll be able to optimize audio resources and texture files, along with effectively storing and using resource files. You'll then delve into the Rendering Pipeline and learn how to identify performance problems in the pipeline. In addition to this, you'll learn how to optimize the memory and processing unit of Unity. Finally, you'll cover tips and tricks used by Unity professionals to improve the project workflow. By the end of this book, you'll have developed the skills you need to build interactive games using Unity and its components. What you will learn Apply the Unity Profiler to find bottlenecks in your app, and discover how to resolve them Discover performance problems that are critical for VR projects and learn how to tackle them Enhance shaders in an accessible way, optimizing them with subtle yet effective performance tweaks Use the physics engine to keep scenes as dynamic as possible Organize, filter, and compress art assets to maximize performance while maintaining high quality Use the Mono framework and C# to implement low-level enhancements that maximize memory usage and prevent garbage collection Who this book is for The book is intended for intermediate Unity game developers who wants to maximize the performance of their game. The book assumes familiarity with C# programming. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88876737 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=497490
Titre : Unreal Engine 4 Game Development Quick Start Guide Type de document : e-book Auteurs : Rachel CORDONE Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781789950687 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn how to use Unreal Engine 4 by building 3D and multiplayer games using Blueprints Key Features Learn the fundamentals of Unreal Engine such as project templates, Blueprints, and C++ Learn to design games; use UMG to create menus and HUDs, and replication to create multiplayer games Build dynamic game elements using Animation Blueprints and Behavior Trees Book Description Unreal Engine is a popular game engine for developers to build high-end 2D and 3D games. This book is a practical guide, starting off by quickly introducing you to the Unreal Engine 4 (UE4) ecosystem. You will learn how to create Blueprints and C++ code to define your game's functionality. You will be familiarized with the core systems of UE4 such as UMG, Animation Blueprints, and Behavior Trees. You will also learn how to use replication to create multiplayer games. By the end of this book, you will have a broad, solid knowledge base to expand upon on your journey with UE4. What you will learn Use project templates to give your game a head start Create custom Blueprints and C++ classes and extend from Epic's base classes Use UMG to create menus and HUDs for your game Create more dynamic characters using Animation Blueprints Learn how to create complex AI with Behavior Trees Use replication to create multiplayer games Optimize, test, and deploy a UE4 project Who this book is for Readers who already have some game development experience and Unity users who would like to try UE4 will all benefit from this book. Knowledge of basic Object-Oriented Programming topics such as variables, functions, and classes is assumed. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88871074 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=486528
Titre : Unreal Engine 4 Virtual Reality Projects Type de document : e-book Auteurs : Kevin MACK Editeur : PACKT PUBLISHING Année de publication : 2019 ISBN/ISSN/EAN : 9781789132878 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn to design and build Virtual Reality experiences, applications, and games in Unreal Engine 4 through a series of practical, hands-on projects that teach you to create controllable avatars, user interfaces, and more. Key Features Deploy your virtual reality applications on the latest Oculus Go and Samsung Gear Build real-world applications such as 3D UIs, mini games, and 360 media player applications using Unreal Engine 4 Master multiplayer networking and build rich multi-user VR experiences Book Description Unreal Engine 4 (UE4) is a powerful tool for developing VR games and applications. With its visual scripting language, Blueprint, and built-in support for all major VR headsets, it's a perfect tool for designers, artists, and engineers to realize their visions in VR. This book will guide you step-by-step through a series of projects that teach essential concepts and techniques for VR development in UE4. You will begin by learning how to think about (and design for) VR and then proceed to set up a development environment. A series of practical projects follows, taking you through essential VR concepts. Through these exercises, you'll learn how to set up UE4 projects that run effectively in VR, how to build player locomotion schemes, and how to use hand controllers to interact with the world. You'll then move on to create user interfaces in 3D space, use the editor's VR mode to build environments directly in VR, and profile/optimize worlds you've built. Finally, you'll explore more advanced topics, such as displaying stereo media in VR, networking in Unreal, and using plugins to extend the engine. Throughout, this book focuses on creating a deeper understanding of why the relevant tools and techniques work as they do, so you can use the techniques and concepts learned here as a springboard for further learning and exploration in VR. What you will learn Understand design principles and concepts for building VR applications Set up your development environment with Unreal Blueprints and C++ Create a player character with several locomotion schemes Evaluate and solve performance problems in VR to maintain high frame rates Display mono and stereo videos in VR Extend Unreal Engine's capabilities using various plugins Who this book is for This book is for anyone interested in learning to develop Virtual Reality games and applications using UE4. Developers new to UE4 will benefit from hands-on projects that guide readers through clearly-explained steps, while both new and experienced developers will learn crucial principles and techniques for VR development in UE4. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88869979 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=485438 PermalinkPermalinkPermalinkPermalinkWindows Server 2019 Automation with PowerShell Cookbook - Third Edition / Thomas LEE / PACKT PUBLISHING (2019)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkAzure Serverless Computing Cookbook - Second Edition / Praveen Kumar SREERAM / PACKT PUBLISHING (2018)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkBuilding Machine Learning Systems with Python - Third Edition Ed. 3 / Luis PEDRO COELHO / PACKT PUBLISHING (2018)PermalinkPermalinkPermalink
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