Learning Shiny
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Learning Shiny
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Author : Hernan G. Resnizky
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-10-16
Learning Shiny written by Hernan G. Resnizky and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-16 with Computers categories.
Make the most of R's dynamic capabilities and implement web applications with Shiny About This Book Present interactive data visualizations in R within the Shiny framework Construct web dashboards in a simple, intuitive, but fully flexible environment Apply your skills to create a real-world web application with this step-by-step guide Who This Book Is For If you are a data scientist who needs a platform to show your results to a broader audience in an attractive and visual way, or a web developer with no prior experience in R or Shiny, this is the book for you. What You Will Learn Comprehend many useful functions, such as lapply and apply, to process data in R Write and structure different files to create a basic dashboard Develop graphics in R using popular graphical libraries such as ggplot2 and GoogleVis Mount a dashboard on a Linux Server Integrate Shiny with non-R-native visualization, such as D3.js Design and build a web application In Detail R is nowadays one of the most used tools in data science. However, along with Shiny, it is also gaining territory in the web application world, due to its simplicity and flexibility. Shiny is a framework that enables the creation of interactive visualizations written entirely in R and can be displayed in almost any ordinary web browser. It is a package from RStudio, which is an IDE for R. From the fundamentals of R to the administration of multi-concurrent, fully customized web applications, this book explains how to achieve your desired web application in an easy and gradual way. You will start by learning about the fundamentals of R, and will move on to looking at simple and practical examples. These examples will enable you to grasp many useful tools that will assist you in solving the usual problems that can be faced when developing data visualizations. You will then walk through the integration of Shiny with R in general and view the different visualization possibilities out there. Finally, you will put your skills to the test and create your first web application! Style and approach This is a comprehensive, step-by-step guide that will allow you to learn and make full use of R and Shiny's capabilities in a gradual way, together with clear, applied examples.
Innovating Education With Ai
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Author : Eric C. K. Cheng
language : en
Publisher: Springer Nature
Release Date : 2025-05-17
Innovating Education With Ai written by Eric C. K. Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Education categories.
This book delves into the intersection of technology and education, providing a comprehensive exploration of three key areas: technological issues in education, computer-supported collaborative work, and educational software and serious games. It goes beyond traditional discussions by focusing on the incorporation of Artificial Intelligence (AI) generative tools and their pedagogical implications, institutional policies, and ethical considerations. By addressing areas such as blended learning, social media integration, gamified learning experiences, and the incorporation of AI generative tools, this book provides educators, researchers, and practitioners with valuable insights into harnessing the power of technology, specifically AI, to enhance teaching and learning outcomes.
Practical Statistical Learning And Data Science Methods
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Author : O. Olawale Awe
language : en
Publisher: Springer Nature
Release Date : 2024-12-27
Practical Statistical Learning And Data Science Methods written by O. Olawale Awe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network. Through a series of compelling case studies, readers are immersed in practical methodologies, real-world applications, and innovative approaches in statistical learning and data science. Topics covered in this volume span a wide array of applications, including machine learning in health data analysis, deep learning models for precipitation modeling, interpretation techniques for machine learning models in BMI classification for obesity studies, as well as a comparative analysis of sampling methods in machine learning health applications. By addressing the evolving landscape of data analytics in many ways, this volume serves as a valuable resource for practitioners, researchers, and students alike. The LISA 2020 Global Network is dedicated to enhancing statistical and data science capabilities in developing countries through the establishment of collaboration laboratories, also known as “stat labs.” These stat labs function as engines for development, nurturing the next generation of collaborative statisticians and data scientists while providing essential research infrastructure for researchers, data producers, and decision-makers.
Adventures In Self Directed Learning
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Author : Bernard D. Bull
language : en
Publisher: Wipf and Stock Publishers
Release Date : 2017-05-11
Adventures In Self Directed Learning written by Bernard D. Bull and has been published by Wipf and Stock Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-11 with Religion categories.
In Adventures in Self-Directed Learning, Dr. Bernard Bull draws from over a decade of research to build a compelling case for the importance of nurturing agency, ownership, and a capacity for self-education in learners. He casts a vision for education in a connected age, offers readers a collection of practical suggestions for how to get started, and also works through common challenges and pitfalls. This is a must read text for anyone who believes that education should equip learners to fully embrace the challenges and opportunities of life and learning in the contemporary world.
Suddenly
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Author : William Michael Cuccia
language : en
Publisher: AuthorHouse
Release Date : 2016-10-12
Suddenly written by William Michael Cuccia and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-12 with Fiction categories.
Suddenly: A Christmas Trilogy broadcasts the message that good prevails. Its a story of an angel who struggles with self-esteem until he encounters Gods love and acceptance. He is the only bald angel in heaven. Suddenly is a story of transformation. The bald angel becomes a messenger of hope to a rudderless world that is starving for hope. Suddenly: A Christmas Trilogy is an ongoing journey of how angels travel from heaven and back, delivering simple messages of hope resulting in miracles being unleashed on a small town desperate for help. Through Suddenly, readers experience the characters transformation, both relationally and spiritually, over the course of time. Suddenly presents eternity in a fresh, fun, and feel-good perspective.
Hands On Data Science With R
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Author : Vitor Bianchi Lanzetta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30
Hands On Data Science With R written by Vitor Bianchi Lanzetta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Mathematics categories.
A hands-on guide for professionals to perform various data science tasks in R Key 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 Description R 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. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity. What you will learnUnderstand the R programming language and its ecosystem of packages for data scienceObtain and clean your data before processingMaster essential exploratory techniques for summarizing dataExamine various machine learning prediction, modelsExplore the H2O analytics platform in R for deep learningApply data mining techniques to available datasetsWork with interactive visualization packages in RIntegrate R with Spark and Hadoop for large-scale data analyticsWho this book is for If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course
Mobile Learning
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Author : M. Pegrum
language : en
Publisher: Springer
Release Date : 2014-07-23
Mobile Learning written by M. Pegrum and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-23 with Education categories.
This book explores the use of mobile devices for teaching and learning language and literacies, investigating the ways in which these technologies open up new educational possibilities. Pegrum builds up a rich picture of contemporary mobile learning and outlines of likely future developments.
Data Science Analytics And Machine Learning With R
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Author : Luiz Paulo Favero
language : en
Publisher: Academic Press
Release Date : 2023-01-23
Data Science Analytics And Machine Learning With R written by Luiz Paulo Favero and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-23 with Computers categories.
Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear. - Presents a comprehensive and practical overview of machine learning, data mining and AI techniques for a broad multidisciplinary audience - Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R - Teaches readers how to apply machine learning techniques to a wide range of data and subject areas - Presents data in a graphically appealing way, promoting greater information transparency and interactive learning
Learning R Programming
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Author : Kun Ren
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-10-28
Learning R Programming written by Kun Ren and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-28 with Computers categories.
Become an efficient data scientist with R About This Book Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Who This Book Is For This is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques. What You Will Learn Explore the basic functions in R and familiarize yourself with common data structures Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization Get acquainted with R's evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis Get to know high performance computing techniques such as parallel computing and Rcpp Use web scraping techniques to extract information Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more In Detail R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. Style and approach Developed to make learning easy and intuitive, this book comes packed with a wide variety of statistical and graphical techniques and a wealth of practical information for anyone looking to get started with this exciting and powerful language.
Ebook Effective Early Years Education
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Author : Anne Edwards
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 1994-12-16
Ebook Effective Early Years Education written by Anne Edwards and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-16 with Education categories.
In this concise and accessible guide, the authors are sympathetic to the particular demands of teaching three to eight year olds and offer practical solutions to the complex issues that are currently faced by early years educators. In recognizing the demands on practitioners, they provide new and challenging frameworks for an understanding of the practice of teaching young children and draw upon international research to offer a sound model of early years subject-structured teaching which has the quality of children's learning at its centre. Their aim is to support teacher expertise through stimulating teachers' thinking about children's development, motivation, ways of learning and the subjects they teach. These topics are clearly set in the complex institutional settings in which practitioners work and ways of taking and evaluating action are offered.