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Learning from Multiple Social Networks (Synthesis Lectures on Information Concepts, Retrieval, and Services)
by Liqiang Nie Xuemeng Song Tat-Seng ChuaWith the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In fact, multiple social networks characterize the same social users from different perspectives, and their contexts are usually consistent or complementary rather than independent. Hence, as compared to using information from a single social network, appropriate aggregation of multiple social networks offers us a better way to comprehensively understand the given social users. Learning across multiple social networks brings opportunities to new services and applications as well as new insights on user online behaviors, yet it raises tough challenges: (1) How can we map different social network accounts to the same social users? (2) How can we complete the item-wise and block-wise missing data? (3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplored to date. We noticed this timely opportunity, and in this book we present some state-of-the-art theories and novel practical applications on aggregation of multiple social networks. In particular, we first introduce multi-source dataset construction. We then introduce how to effectively and efficiently complete the item-wise and block-wise missing data, which are caused by the inactive social users in some social networks. We next detail the proposed multi-source mono-task learning model and its application in volunteerism tendency prediction. As a counterpart, we also present a mono-source multi-task learning model and apply it to user interest inference. We seamlessly unify these models with the so-called multi-source multi-task learning, and demonstrate several application scenarios, such as occupation prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy issues and source complementarity modeling. This is preliminary research on learning from multiple social networks, and we hope it can inspire more active researchers to work on this exciting area. If we have seen further it is by standing on the shoulders of giants.
Learning from VLSI Design Experience
by Weng Fook LeeThis book shares with readers practical design knowledge gained from the author’s 24 years of IC design experience. The author addresses issues and challenges faced commonly by IC designers, along with solutions and workarounds. Guidelines are described for tackling issues such as clock domain crossing, using lockup latch to cross clock domains during scan shift, implementation of scan chains across power domain, optimization methods to improve timing, how standard cell libraries can aid in synthesis optimization, BKM (best known method) for RTL coding, test compression, memory BIST, usage of signed Verilog for design requiring +ve and -ve calculations, state machine, code coverage and much more. Numerous figures and examples are provided to aid the reader in understanding the issues and their workarounds.
Learning Functional Data Structures and Algorithms
by Atul S. Khot Raju Kumar Mishra 2 23 2017Learn functional data structures and algorithms for your applications and bring their benefits to your work nowAbout This BookMoving from object-oriented programming to functional programming? This book will help you get started with functional programming.Easy-to-understand explanations of practical topics will help you get started with functional data structures.Illustrative diagrams to explain the algorithms in detail.Get hands-on practice of Scala to get the most out of functional programming.Who This Book Is ForThis book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward.What You Will LearnLearn to think in the functional paradigmUnderstand common data structures and the associated algorithms, as well as the context in which they are commonly usedTake a look at the runtime and space complexities with the O notationSee how ADTs are implemented in a functional settingExplore the basic theme of immutability and persistent data structuresFind out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying.Get to know functional features like lazy evaluation and recursion used to implement efficient algorithmsGain Scala best practices and idiomsIn DetailFunctional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs.How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures?This book attempts to answer these questions by looking at functional implementations of traditional algorithms.It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical.Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency.By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.Style and approachStep-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
Learning Functional Programming in Go
by Lex SheehanFunctional programming is a popular programming paradigm that is used to simplify many tasks and will help you write flexible and succinct code. It allows you to decompose your programs into smaller, highly reusable components, without applying conceptual restraints on how the software should be modularized.
Learning Game AI Programming with Lua
by David YoungIf you are a game developer or a general programmer who wishes to focus on programming systems and techniques to build your game AI without creating low-level interfaces in a game engine, then this book is for you. Knowledge of C++ will come in handy to debug the entirety of the AI sandbox and expand on the features present within the book, but it is not required.
Learning Game Physics with Bullet Physics and OpenGL
by Chris DickinsonA comprehensive set of straight-forward, easy-to-follow tutorials in OpenGL and Bullet Physics that will teach you how modern game physics and 3D graphics work.If you're a beginner or intermediate programmer with a basic understanding of 3D mathematics, and you want a stronger foundation in 3D graphics and physics, then this book is perfect for you! You'll even learn some of the fundamental concepts in 3D mathematics and software design that lies beneath them both, discovering some techniques and tricks in graphics and physics that you can use in any game development project.
Learning Games: The Science and Art of Development (Advances in Game-Based Learning)
by Scott J. Warren Greg JonesThis book provides an overview of the design and development of learning games using examples from those created by the authors over last decade. It provides lessons learned about processes, successful approaches, and pitfalls that befall developers of learning games and educational transmedia experiences. The book includes stories from the authors’ lives that give context to why and how they built these products to help the reader understand whether or not building a learning game is right for them and what challenges they might face. It also gives a framework for thinking ethically about design and research when it comes to designing complex digital systems like educational games.
Learning GDScript by Developing a Game with Godot 4: A fun introduction to programming in GDScript 2.0 and game development using the Godot Engine
by Sander VanhoveLearn the Godot 4 game engine and GDScript 2.0 as you build your own game and transform into a proficient programmer with this illustrated guideKey FeaturesLearn the fundamentals of programming as you write GDScript 2.0Explore the world of GDScript 2.0 with this comprehensive introduction to the languageWork with Godot 4’s robust features and built-in tools to create captivating 2D and 3D games, simulations, and interactive applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the digital landscape driven by interactive experiences, the demand for creative individuals with the skills to create captivating games has never been higher. Written by Sander Vanhove, a seasoned game developer with over 20 games to his credit, this book will serve as your entry point into game development, showing you how to leverage the powerful features of the open-source, versatile GDScript 2.0 to develop your ideas, from simple platformers to complex RPGs. Whether you're an aspiring game developer, a hobbyist seeking a creative outlet, or simply someone intrigued by the world of game programming, this book will guide you through the intricacies of the Godot 4 game engine. Starting with a primer on the fundamentals of programming, you’ll cover everything from data to logic, while familiarizing yourself with Godot’s built-in tools such as the physics engine, navigation, and cameras. As you progress, you’ll unlock deeper insights into more advanced tools that will take your programming to the next level. Aided by easy-to-follow step-by-step tutorials, examples, exercises, and experiments, you’ll seamlessly integrate this newfound knowledge to create a Vampire Survivor-like game from scratch. By the end of this book, you’ll have become proficient in leveraging the Godot 4 game engine to bring your gaming visions to life.What you will learnDevelop your GDScript 2.0 programming skills from basic to advanced, emphasizing code cleanlinessHarness Godot 4's integrated physics engine to control and manipulate in-game objectsDesign a vibrant and immersive game world by seamlessly integrating a diverse array of assetsMaster the art of processing input from various sources for enhanced interactivityExtend the reach of your game by learning how to export it to multiple platformsIncorporate simple multiplayer functionality for a dynamic gaming experienceWho this book is forThis book is for programmers, game designers, game developers, and game artists who want to start creating games in Godot 4. If you’re new to coding or game development, looking for a new creative outlet, and want to give Godot 4 and GDScript 2.0 a try, this book is for you. While no prior knowledge of programming or Godot is required, this book gradually introduces more complex concepts as you advance through the chapters.
Learning Geospatial Analysis with Python
by Joel LawheadThis is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.
Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
by Joel LawheadHarness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysisKey FeaturesCreate GIS solutions using the new features introduced in Python 3.10Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJIdentify the tools and resources that best align with your specific needsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learnAutomate geospatial analysis workflows using PythonUnderstand the different formats in which geospatial data is availableUnleash geospatial tech tools to create stunning visualizationsCreate thematic maps with Python tools such as PyShp, OGR, and the Python Imaging LibraryBuild a geospatial Python toolbox for analysis and application developmentUnlock remote sensing secrets, detect changes, and process imageryLeverage ChatGPT for solving Python geospatial solutionsApply geospatial analysis to real-time data tracking and storm chasingWho this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Learning Geospatial Analysis with Python: Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
by Joel LawheadHarness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysisKey FeaturesCreate GIS solutions using the new features introduced in Python 3.10Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJIdentify the tools and resources that best align with your specific needsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learnAutomate geospatial analysis workflows using PythonUnderstand the different formats in which geospatial data is availableUnleash geospatial tech tools to create stunning visualizationsCreate thematic maps with Python tools such as PyShp, OGR, and the Python Imaging LibraryBuild a geospatial Python toolbox for analysis and application developmentUnlock remote sensing secrets, detect changes, and process imageryLeverage ChatGPT for solving Python geospatial solutionsApply geospatial analysis to real-time data tracking and storm chasingWho this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Learning Geospatial Analysis with Python - Second Edition
by Joel LawheadAn effective guide to geographic information systems and remote sensing analysis using Python 3 About This Book • Construct applications for GIS development by exploiting Python • This focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system—no compiling of C libraries necessary • This practical, hands-on tutorial teaches you all about Geospatial analysis in Python Who This Book Is For If you are a Python developer, researcher, or analyst who wants to perform Geospatial, modeling, and GIS analysis with Python, then this book is for you. Familarity with digital mapping and analysis using Python or another scripting language for automation or crunching data manually is appreciated What You Will Learn • Automate Geospatial analysis workflows using Python • Code the simplest possible GIS in 60 lines of Python • Mold thematic maps with Python tools • Get hold of the various forms that geospatial data comes in • Produce elevation contours using Python tools • Create flood inundation models • Apply Geospatial analysis to find out about real-time data tracking and for storm chasing In Detail Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data. This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don't become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors. Style and approach This is a practical, hands-on tutorial that teaches you all about Geospatial analysis interactively using Python.
Learning Groovy: Java-based Dynamic Scripting
by Adam L. DavisStart building powerful apps that take advantage of the dynamic scripting capabilities of the Groovy language. This book covers Groovy fundamentals, such as installing Groovy, using Groovy tools, and working with the Groovy Development Kit (GDK). You'll also learn more advanced aspects of Groovy, such as using Groovy design patterns, writing DSLs in Groovy, and taking advantage of Groovy's functional programming features.There is more to Groovy than the core language, so Learning Groovy covers the extended Groovy ecosystem. You'll see how to harness Gradle (Groovy's build system), Grails (Groovy's web application framework), Spock (Groovy's testing framework), and Ratpack (Groovy's reactive web library).What You'll LearnGrasp Groovy fundamentals, including the GDK or Groovy Development KitMaster advanced Groovy, such as writing Groovy DSLsDiscover functional programming in GroovyWork with GPars, the built-in concurrency libraryUse Gradle, the build systemMaster Grails, the web application frameworkWork with Spock, the testing frameworkHarness Ratpack, the reactive web libraryWho This Book Is ForAlthough this book is intended for those with a Java background, anyone with basic programming skills could benefit from it. This book is a data-filled, yet easy-to-digest tour of the Groovy language and ecosystem.
Learning Groovy 3: Java-Based Dynamic Scripting
by Adam L. DavisStart building powerful apps that take advantage of the dynamic scripting capabilities of the Groovy language, including what's new in Groovy version 3.0. This book covers Groovy fundamentals, such as installing Groovy, using Groovy tools, and working with the Groovy Development Kit (GDK). You'll also learn more advanced aspects of Groovy, such as using Groovy design patterns, writing DSLs in Groovy, and taking advantage of Groovy's functional programming features.Also, Learning Groovy 3 has been updated to Groovy 3.0 to include the new Parrot parser which was extended to support additional syntax options and language features. It also includes coverage of Groovydoc, which allows you to embed Groovydoc comments in various ways. And, this book covers how Groovy supports Java type annotations and more.There is more to Groovy than the core language, so Learning Groovy 3, Second Edition covers the extended Groovy ecosystem. You'll see how to harness Gradle (Groovy's build system), Grails (Groovy's web application framework), Spock (Groovy's testing framework), and Ratpack (Groovy's reactive web library).What You Will LearnGrasp Groovy fundamentals, including the GDK Master advanced Groovy, such as writing Groovy DSLsDiscover functional programming in GroovyWork with GPars, the built-in concurrency libraryUse Gradle, the build systemMaster Grails, the web application frameworkWork with Spock, the testing frameworkHarness Ratpack, the reactive web libraryWho This Book Is ForThose with a Java background, though anyone with basic programming skills can benefit from it. This book is a data-filled, yet easy-to-digest tour of the Groovy language and ecosystem.
Learning Hadoop 2
by Garry Turkington Gabriele ModenaIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
Learning Haskell Data Analysis
by James ChurchIf you are a developer, analyst, or data scientist who wants to learn data analysis methods using Haskell and its libraries, then this book is for you. Prior experience with Haskell and a basic knowledge of data science will be beneficial.
Learning HBase
by Shashwat ShriparvIf you are an administrator or developer who wants to enter the world of Big Data and BigTables and would like to learn about HBase, this is the book for you.
Learning Heroku Postgres
by Patrick EspakeLearning Heroku Postgres is targeted at developers and database admins. Even if you're new to Heroku Postgres, you'll be able to master both the basic as well as advanced features of Heroku Postgres. Since Heroku Postgres is incredibly user-friendly, no previous experience in computer coding or programming is required.
Learning Highcharts
by Joseph KuanA complete practical and comprehensive tutorial with clear and step-by-step instructions along with many examples. It's packed with examples, code samples and practical tips in a no-nonsense way. This book is both for beginners and advanced web developers who need to create interactive charts for their web applications. It primarily targets JavaScript Web developers who want to use the Highcharts library to prepare interactive and professional-quality charts and graphs for their applications quickly and easily. Prior experience with JavaScript is assumed.
Learning Highcharts 4
by Joe KuanThe book is aimed at all levels of readers. Beginners can learn the basic configurations and step-by-step approaches in creating charts or Highcharts cloud. For intermediate and advanced readers, the book explores the APIs, events, server-side operations and plugins.
Learning How to Learn Using Multimedia (Lecture Notes in Educational Technology)
by Deepanjali Mishra Yuangshan ChuangThis book introduces the concept of multimedia in education, and how multimedia technology could be implemented to impart digital education to university students. The book emphasizes the versatile use of technology enabled education through the research papers from distinguished academicians and researchers who are specifically working in this area. It benefits all those researchers who are enthusiastic about learning online and also for those academicians who are interested to work on various aspects of learning and teaching through technology.
Learning HTML5 by Creating Fun Games
by Rodrigo SilveiraBy teaching HTML5 by developing exciting games, the reader will see concrete applications for each of the concepts, and will also have a powerful deliverable at the end of each chapter – a fully functional game. We learn the various concepts using very abstract examples – how to model animals, foods, or fictitious machines. This makes learning and understanding a lot easier, and much more enjoyable.If you are are looking to get a good grounding in how to use the new awesome technology that is HTML5, this book is for you. Basic knowledge of HTML and/or HTML5 is welcome, but optional. The book is a friendly and exciting reference for beginners.
Learning Hunk
by Dmitry Anoshin Sergey SheypakVisualize and analyze your Hadoop data using Hunk About This Book • Explore your data in Hadoop and NoSQL data stores • Create and optimize your reporting experience with advanced data visualizations and data analytics • A comprehensive developer's guide that helps you create outstanding analytical solutions efficiently Who This Book Is For If you are Hadoop developers who want to build efficient real-time Operation Intelligence Solutions based on Hadoop deployments or various NoSQL data stores using Hunk, this book is for you. Some familiarity with Splunk is assumed. What You Will Learn • Deploy and configure Hunk on top of Cloudera Hadoop • Create and configure Virtual Indexes for datasets • Make your data presentable using the wide variety of data visualization components and knowledge objects • Design a data model using Hunk best practices • Add more flexibility to your analytics solution via extended SDK and custom visualizations • Discover data using MongoDB as a data source • Integrate Hunk with AWS Elastic MapReduce to improve scalability In Detail Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond typical data analysis methods and gives you the power to rapidly detect patterns and find anomalies across petabytes of raw data. This book focuses on exploring, analysing, and visualizing big data in Hadoop and NoSQL data stores with this powerful full-featured big data analytics platform. You will begin by learning the Hunk architecture and Hunk Virtual Index before moving on to how to easily analyze and visualize data using Splunk Search Language (SPL). Next you will meet Hunk Apps which can easy integrate with NoSQL data stores such as MongoDB or Sqqrl. You will also discover Hunk knowledge objects, build a semantic layer on top of Hadoop, and explore data using the friendly user-interface of Hunk Pivot. You will connect MongoDB and explore data in the data store. Finally, you will go through report acceleration techniques and analyze data in the AWS Cloud. Style and approach A step-by-step guide starting right from the basics and deep diving into the more advanced and technical aspects of Hunk.
Learning Hyper-V
by Vinicius R. ApolinarioThis book focuses on readers starting their journey with Hyper-V, and assumes they have minimal or no knowledge of virtualization.
Learning iBeacon
by Craig GilchristThis book is intended for iOS developers who are curious to learn about iBeacon and want to start building applications for iOS. You will gain everything you need to know to master indoor location functionality using Bluetooth beacon technology. No knowledge of iBeacon is assumed.