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.
Progressively explore UI development with Shiny via practical examplesKey FeaturesWrite a Shiny interface in pure HTMLExplore powerful layout functions to make attractive dashboards and other intuitive interfacesGet to grips with Bootstrap and leverage it in your Shiny applicationsBook DescriptionAlthough vanilla Shiny applications look attractive with some layout flexibility, you may still want to have more control over how the interface is laid out to produce a dashboard.
Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applicationsKey FeaturesBuild independent machine learning (ML) systems leveraging the best features of R 3.
The gap between who designers and developers imagine their users are, and who those users really are can be the biggest problem with product development.
Emotions and Affect in Human Factors and Human-Computer Interaction is a complete guide for conducting affect-related research and design projects in H/F and HCI domains.
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.
Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare.
Writing for Interaction focuses on the art of creating the information experience as it appears within software and web applications, specifically in the form of user interface text.
As a usability specialist or interaction designer working with the government, or as a government or contractor professional involved in specifying, procuring, or managing system development, you need this book.
Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data.
User Experience Management: Essential Skills for Leading Effective UX Teams deals with specific issues associated with managing diverse user experience (UX) skills, often in corporations with a largely engineering culture.
The UX Book: Process and Guidelines for Ensuring a Quality User Experience aims to help readers learn how to create and refine interaction designs that ensure a quality user experience (UX).
It's Our Research: Getting Stakeholder Buy-in for User Experience Research Projects discusses frameworks, strategies, and techniques for working with stakeholders of user experience (UX) research in a way that ensures their buy-in.
Observing the User Experience: A Practitioner's Guide to User Research aims to bridge the gap between what digital companies think they know about their users and the actual user experience.
Pervasive Information Architecture explains the 'why' and 'how' of pervasive information architecture (IA) through detailed examples and real-world stories.
No Code Required presents the various design, system architectures, research methodologies, and evaluation strategies that are used by end users programming on the Web.
Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data?
Thoughts on Interaction Design, Second Edition, contemplates and contributes to the theory of Interaction Design by exploring the semantic connections that live between technology and form that are brought to life when someone uses a product.
Global UX: Design and Research in a Connected World discusses how user experience (UX) practice is changing and how practitioners and teams around the world are creating great user experiences for a global context.
Usability Testing Essentials provides readers with the tools and techniques needed to begin usability testing or to advance their knowledge in this area.
User Experience Re-Mastered: Your Guide to Getting the Right Design provides an understanding of key design and development processes aimed at enhancing the user experience of websites and web applications.
Get productive quickly with Pentaho Data IntegrationKey FeaturesTake away the pain of starting with a complex and powerful systemSimplify your data transformation and integration workExplore, transform, and validate your data with Pentaho Data IntegrationBook DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities.
Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and librariesKey FeaturesLearn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasksUnderstand and develop model-free and model-based algorithms for building self-learning agentsWork with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution strategiesBook DescriptionReinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements.
Differential Equations and Mathematical Physics: Proceedings of the International Conference held at the University of Alabama at Birmingham, March 15-21, 1990