?>
IT eBooks
Download, Read, Use

Graph eBooks

Graph Databases, 2nd Edition
Graph Databases, 2nd Edition

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book's data modeling, query, and code examples, you'll quickly be able to implement your own solution. Model data with the Cypher query language and property graph model; Learn best practices and common pitfalls when modeling with graphs; Plan and implement a graph ...
Mastering Gephi Network Visualization
Mastering Gephi Network Visualization

Mastering Gephi Network Visualization will take you through an overview of Gephi and network behavior, followed by detailed chapters addressing layouts, filtering, graph statistics, dynamic graphs, and more. You will begin with a concise overview of working with the Gephi interface. You will then see how to create your own graphs and understand the graph layouts to arrange a sample dataset. You will understand the theory behind Dynamic Network Analysis, followed by sample applications on how Gephi can be used to model these networks. You will also learn about the plugins that are most critical for network analysis and graph creation. Finally, you will put together all the previously learned concepts and gain insight on the future state of network graph analysis. After reading this book and following the examples provided, you will have the confidence and expertise to create your own compelling graphs. ...
SVG Colors, Patterns, and Gradients
SVG Colors, Patterns, and Gradients

As a vector graphics format, SVG uses precisely-defined geometric shapes to build an image. But that doesn't mean that SVG graphics have to look like technical drawings. SVG graphics can be shaded, textured, built from partially-transparent overlapping layers, or even filled with photographic images. SVG Colors, Patterns, and Gradients takes an in-depth look at the different ways SVG text and shapes can be painted on the screen or page. You'll start with an overview of how color is defined, including the various ways you can control the transparency of SVG content. You'll then dive deep into the concept of an SVG paint server: gradients, patterns, and other complex graphical content that can be used to fill-in or outline other SVG shapes and text. ...
Graphing Data with R
Graphing Data with R

Complex relationships are often more easily grasped by looking at a picture, or a graph than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by highlighting important relationships and trends, reducing the data to simpler forms, and making it possible to take in a lot of numbers at a glance. The tool set used to accomplish the task is the free programming language and library of programs called "R." The book explains, in plain language, how to download R to a Windows, Mac, or Linux computer, how to enter your own data or to copy publicly available data from many web sites, and how to understand, use, and produce effective graphs. ...
Mastering Probabilistic Graphical Models Using Python
Mastering Probabilistic Graphical Models Using Python

Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
ggplot2 Essentials
ggplot2 Essentials

ggplot2 is one of the most sophisticated and advanced packages of R and its use is constantly growing in the community of R programmers. This book is the perfect starting point for your journey in learning about one of the most refined and widely used plotting tools—ggplot2. You will start by taking a tour of the most relevant packages available in R to create plots, such as graphics, lattice, and ggplot2. Following this, you will take a deep dive into the concepts of ggplot2 by covering different kinds of plots that will help you gear up for your first hands-on project. After this first taste of the capabilities of ggplot2, you will explore in detail the visualization approach implemented in this package, the so-called grammar of graphics, providing you with the basics to understand the backstage concepts in the plotting functions. Finally, you will take a look at some specialized and sophisticated applications of ggplot2, such as how to realize a complex scatterplot matrix, heat ...
R in Action, 2nd Edition
R in Action, 2nd Edition

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. ...
SVG Colors, Patterns & Gradients
SVG Colors, Patterns & Gradients

As a vector graphics format, SVG uses precisely-defined geometric shapes to build an image. But that doesn't mean that SVG graphics have to look like technical drawings. SVG graphics can be shaded, textured, built from partially-transparent overlapping layers, or even filled with photographic images. SVG Colors, Patterns, and Gradients takes an in-depth look at the different ways SVG text and shapes can be painted on the screen or page. You'll start with an overview of how color is defined, including the various ways you can control the transparency of SVG content. You'll then dive deep into the concept of an SVG paint server: gradients, patterns, and other complex graphical content that can be used to fill-in or outline other SVG shapes and text. ...
Graph Analysis and Visualization
Graph Analysis and Visualization

Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those pro ...
Learn Pixi.js
Learn Pixi.js

Create and display interactive graphics, build scenes and animated transitions, make cross-platform, responsive games and applications for multiple screen resolutions, and use Pixi.js's spectacular WebGL rendering effects. Learn how to create applications for desktop and touch-screen devices, and how to use the best open-source plugins to extend Pixi.js's capabilities in a myriad of exciting ways. If you've ever wondered what you need to know to start making games, or what technology you need to build high-performance mobile apps, this book will show you the way. Learn Pixi.js is your one-stop shop for everything you need to know to quickly start making spectacular cross-platform interactive games and animations. ...
Building a Game with Unity and Blender
Building a Game with Unity and Blender

In the wake of the indie game development scene, game development tools are no longer luxury items costing up to millions of dollars but are now affordable by smaller teams or even individual developers. Among these cutting-edge applications, Blender and Unity stand out from the crowd as a powerful combination that allows small-to-no budget indie developers or hobbyists alike to develop games that they have always dreamt of creating. Starting from the beginning, this book will cover designing the game concept, constructing the gameplay, creating the characters and environment, implementing game logic and basic artificial intelligence, and finally deploying the game for others to play. By sequentially working through the steps in each chapter, you will quickly master the skills required to develop your dream game from scratch. ...
← Prev       Next →
Reproduction of site books is authorized only for informative purposes and strictly for personal, private use.
Only Direct Download
IT eBooks Group © 2011-2026