Kategoria BISAC: Computers >> Data Science - Data Visualization

Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You'll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways. Programming experience is optional.

• Capture images from several...

In our current screen-saturated culture, we take in more information through visual means than at any point in history. The computers and smart phones that constantly flood us with images do more than simply convey information. They structure our relationship to information through graphical formats. Learning to interpret how visual forms not only present but produce knowledge, says Johanna Drucker, has become an essential contemporary skill.

Graphesis provides a descriptive critical language for the analysis of graphical knowledge. In an interdisciplinary study fusing digital...

"If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL, Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL...

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...

In The Semiotic Engineering of Human-Computer Interaction, Clarisse Sieckenius de Souza proposes an account of HCI that draws on concepts from semiotics and computer science to investigate the relationship between user and designer. Semiotics is the study of signs, and the essence of semiotic engineering is the communication between designers and users at interaction time; designers must somehow be present in the interface to tell users how to use the signs that make up a system or program. This approach, which builds on -- but goes further than -- the currently dominant...

Cowritten by an Oracle ACE Director and an expert in data visualization design specializing in BI and analytics, Data Visualization for Oracle Business Intelligence 11g reveals best practices for presenting data-driven insights with graphs, tables, maps, dashboards, and other methods that will immediately enhance corporate decision-making. Throughout the book, the principles of effective design are emphasized. Leverage the power of this comprehensive business intelligence platform to deliver rich visualizations of business...

More physicists today are taking on the role of software developer as part of their research, but software development isn't always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.

Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You'll learn how to use the Python programming language to perform everything from collecting and analyzing data to building...

It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.

Anyone who wants to analyze data will find something useful here--even if you don't have a background in mathematics, statistics, or computer...