Information visualization

Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy recipesFoster your analytical skills and interpret research across industries and business verticalsPerform t-tests, chi-squared tests, and regression analysis using modern statistical techniquesBook DescriptionR is a popular programming language for developing statistical software.

Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik SenseKey FeaturesImplement various Qlik Sense features to create interactive dashboardsAnalyze data easily and make business decisions faster using Qlik SensePerform self-service data analytics and geospatial analytics using an example-based approachBook DescriptionQlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions.

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Learn advanced techniques and improve your audio visualization skills with Thinking Machine Audio Dreams (ThMAD).

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques.

A hands-on guide for professionals to perform various data science tasks in RKey FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and feature engineeringBecome a thorough data science professional with the help of hands-on examples and use-cases in RBook DescriptionR is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world.

Build attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures in cloud environmentsExplore recipes to design various data visualizations from simple bar charts to advanced 3D plotsBook DescriptionMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends.

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Until recently, many people thought big data was a passing fad.

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning.

Leverage the power of Tableau 2019.

Learn how to quickly generate business intelligence, insights and create interactive dashboards for digital storytelling through various data sources with RedashKey FeaturesLearn the best use of visualizations to build powerful interactive dashboardsCreate and share visualizations and data in your organizationWork with different complexities of data from different data sourcesBook DescriptionData exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization.

Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization.

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices.

Level up with Tableau to build eye-catching, easy-to-interpret data visualizations.

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook DescriptionWith the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems.

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques.

Updated for use with ArcGIS(R) Desktop 10.

Originally published in 1990 and unique in terms of diversity and extent, this book covers a wide geographical area, including Jamaica, Tunisia, Malaysia, India, Mauritius, Turkey, Jordan, Cyprus and Panama.

Map Use: Reading, Analysis, Interpretation, eighth edition is a comprehensive, foundational textbook designed for the college curriculum.

Supercharge your skills for developing powerful deep learning models and distributing them at scale efficiently using cloud servicesKey FeaturesUnderstand how to execute a deep learning project effectively using various tools availableLearn how to develop PyTorch and TensorFlow models at scale using Amazon Web ServicesExplore effective solutions to various difficulties that arise from model deploymentBook DescriptionMachine learning engineers, deep learning specialists, and data engineers encounter various problems when moving deep learning models to a production environment.

Data has become the most powerful tool in business today, and telling its story effectively is critical.

The inverse scattering problem is central to many areas of science and technology such as radar and sonar, medical imaging, geophysical exploration and nondestructive testing.

A good visualization can communicate the nature and potential impact of ideas more powerfully than any other form of communication.

Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization.

In geometry processing and shape analysis, several applications have been addressed through the properties of the Laplacian spectral kernels and distances, such as commute time, biharmonic, diffusion, and wave distances.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area.

Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.

Go beyond the basics and unleash the full power of QGIS 3.

Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook DescriptionData mining is a necessary and predictable response to the dawn of the information age.

Create dynamic dashboards to perform interactive analytics for business intelligence operationsKey FeaturesExplore newly added features in Qlik SenseDiscover best practices to work with data using Qlik SenseLearn to implement advanced functions for better data insightBook DescriptionQlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity.

'Terrifying yet funny, surprising yet predictable, simple yet poignant' Chris PackhamA shocking but informative, eye-catching and witty book of maps that illustrate the perilous state of our planet.

"e;La narraci6n literaria es la evocaci6n de las nostalgias.

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nykoping, Sweden.

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models.

This volume does much more than survey modern advanced color processing.

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau ServerKey FeaturesUnique problem-solution approach to aid effective business decision-makingCreate interactive dashboards and implement powerful business intelligence solutionsIncludes best practices on using Tableau with modern cloud analytics servicesBook DescriptionTableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities.

Want to get up and running with ArcGIS(R) Desktop?

Construct, analyze, and visualize networks with networkx, a Python language module.

COMPREHENSIVE COVERAGE OF SHADERS, THE PROGRAMMABLE PIPELINE AND WEBGLFrom geometric primitives to animation to 3D modeling to lighting, shading and texturing, Computer Graphics Through OpenGL(R): From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts.

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking.

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations?

The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms Includes a case study along with its MATLAB code and simulation results

This book contains both a synthesis and mathematical analysis of a wide set of algorithms and theories whose aim is the automatic segmen- tation of digital images as well as the understanding of visual perception.