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Using OpenRefine

by Max De Wilde Ruben Verborgh

The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way.This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.

Cloud Architecture Patterns

by Bill Wilder

If your team is investigating ways to design applications for the cloud, this concise book introduces 11 architecture patterns that can help you take advantage of cloud-platform services. You'll learn how each of these platform-agnostic patterns work, when they might be useful in the cloud, and what impact they'll have on your application architecture. You'll also see an example of each pattern applied to an application built with Windows Azure. The patterns are organized into four major topics, such as scalability and handling failure, and primer chapters provide background on each topic. With the information in this book, you'll be able to make informed decisions for designing effective cloud-native applications that maximize the value of cloud services, while also paying attention to user experience and operational efficiency. Learn about architectural patterns for: Scalability. Discover the advantages of horizontal scaling. Patterns covered include Horizontally Scaling Compute, Queue-Centric Workflow, and Auto-Scaling. Big data. Learn how to handle large amounts of data across a distributed system. Eventual consistency is explained, along with the MapReduce and Database Sharding patterns. Handling failure. Understand how multitenant cloud services and commodity hardware influence your applications. Patterns covered include Busy Signal and Node Failure. Distributed users. Learn how to overcome delays due to network latency when building applications for a geographically distributed user base. Patterns covered include Colocation, Valet Key, CDN, and Multi-Site Deployment.

The Hasselblad Manual: A Comprehensive Guide To The System

by Ernst Wildi

Discover the great advantages and benefits of working in the medium film format or with the large digital sensor units in Hasselblad digital cameras and digital backs. Presented in an easily accessible format, this book shows the working and manipulation of the various cameras. Detailed illustrations dissect the equipment and provide insight into the ways in which these superb cameras and lenses are best utilized to create professional quality images. This edition of the Manual will bring you up to date with the latest features available within the popular Hasselblad camera systems emphasizing that camera and lens are the most important tools for creating exciting images whether you work digitally or with film. The complete Hasselblad camera system is discussed by renowned author and Hasselblad insider, Ernst Wildi, who provides a solid foundation of both traditional photography and digital capture techniques. Inside you'll also find inspiring photographs from well-known photographers, illustrating a variety of photographic techniques using a Hasselblad camera.

The Medium Format Advantage

by Ernst Wildi

Learn the advantages and capabilities of medium-format cameras and examine all aspects of medium-format operations, including SLR, twin lens, panoramic, rangefinder, wide angle, press, and view cameras. Also explained and illustrated are lenses and their accessories, motor drives, films, flashes, filters, slides and slide projectors, and more. Includes black and white and color photographs and drawings to illustrate proper use of equipment and various techniques, effects, and possibilities that produce successful photographs with the best possible image quality. The medium format is truly the format in the middle. It combines many of the benefits of 35 mm photography with those of the large format, making a medium format system an excellent choice for almost all types of photography from candid action with a hand-held camera to critical studio work from a tripod. Special chapters are devoted to these different applications and the type of equipment that most likely meets your photography needs. This book explains clearly the medium format's benefits, advantages, and disadvantages and provides a comparison of the medium format to other formats so you can decide whether it is right for you and your photography.

Information Risk and Security: Preventing and Investigating Workplace Computer Crime

by Edward Wilding

Information Risk and Security explains the complex and diverse sources of risk for any organization and provides clear guidance and strategies to address these threats before they happen, and to investigate them, if and when they do. Edward Wilding focuses particularly on internal IT risk, workplace crime, and the preservation of evidence, because it is these areas that are generally so mismanaged. There is advice on: ¢ preventing computer fraud, IP theft and systems sabotage ¢ adopting control and security measures that do not hinder business operations but which effectively block criminal access and misuse ¢ securing information - in both electronic and hard copy form ¢ understanding and countering the techniques by which employees are subverted or entrapped into giving access to systems and processes ¢ dealing with catastrophic risk ¢ best-practice for monitoring and securing office and wireless networks ¢ responding to attempted extortion and malicious information leaks ¢ conducting covert operations and forensic investigations ¢ securing evidence where computer misuse occurs and presenting this evidence in court and much more. The author's clear and informative style mixes numerous case studies with practical, down-to-earth and easily implemented advice to help everyone with responsibility for this threat to manage it effectively. This is an essential guide for risk and security managers, computer auditors, investigators, IT managers, line managers and non-technical experts; all those who need to understand the threat to workplace computers and information systems.

An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo

by Uri Wilensky William Rand

The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach -- with hundreds of examples and exercises using NetLogo -- enables readers to begin constructing models immediately, regardless of experience or discipline.The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo

by Uri Wilensky William Rand

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

Microsoft Official Academic Course: Microsoft Excel 2013

by Wiley

This Excel 2013 text is mapped to the Excel 2013 certification exam objectives and is designed to re-enforce workforce skills. With this book students learn to create and edit professional-looking spreadsheets for a variety of purposes and situations.

R Deep Learning Essentials

by Dr Joshua Wiley

This book caters to aspiring data scientists who are well versed with machine learning concepts with R and are looking to explore the deep learning paradigm using the packages available in R. You should have a fundamental understanding of the R language and be comfortable with statistical algorithms and machine learning techniques, but you do not need to be well versed with deep learning concepts.

R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition

by Joshua F. Wiley Mark Hodnett

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNetKey FeaturesUse R 3.5 for building deep learning models for computer vision and textApply deep learning techniques in cloud for large-scale processingBuild, train, and optimize neural network models on a range of datasetsBook DescriptionDeep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, anomaly detection, and recommendation systems. You’ll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics.By the end of this book, you will be fully prepared and able to implement deep learning concepts in your research work or projects.What you will learnBuild shallow neural network prediction modelsPrevent models from overfitting the data to improve generalizabilityExplore techniques for finding the best hyperparameters for deep learning modelsCreate NLP models using Keras and TensorFlow in RUse deep learning for computer vision tasksImplement deep learning tasks, such as NLP, recommendation systems, and autoencodersWho this book is forThis second edition of R Deep Learning Essentials is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. Fundamental understanding of the R language is necessary to get the most out of this book.

Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

by Joshua F. Wiley Pablo Maldonado Mark Hodnett Yuxi (Hayden) Liu

Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The book will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R.By the end of this Learning Path, you’ll be well versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects.This Learning Path includes content from the following Packt products:R Deep Learning Essentials - Second Edition by Joshua F. Wiley and Mark HodnettR Deep Learning Projects by Yuxi (Hayden) Liu and Pablo MaldonadoWhat you will learnImplement credit card fraud detection with autoencodersTrain neural networks to perform handwritten digit recognition using MXNetReconstruct images using variational autoencodersExplore the applications of autoencoder neural networks in clustering and dimensionality reductionCreate natural language processing (NLP) models using Keras and TensorFlow in RPrevent models from overfitting the data to improve generalizabilityBuild shallow neural network prediction modelsWho this book is forThis Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. A fundamental understanding of R programming and familiarity with the basic concepts of deep learning are necessary to get the most out of this Learning Path.

Advanced R: Data Programming and the Cloud

by Joshua F. Wiley Matt Wiley

Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R to programming in R to automate tasks. This book will show you how to manipulate data in modern R structures and includes connecting R to data bases such as SQLite, PostgeSQL, and MongoDB. The book closes with a hands-on section to get R running in the cloud. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn Write and document R functions Make an R package and share it via GitHub or privately Add tests to R code to insure it works as intended Build packages automatically with GitHub Use R to talk directly to databases and do complex data management Run R in the Amazon cloud Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.

Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny

by Joshua F. Wiley Matt Wiley

Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies.Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks. This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics.What You Will Learn Write and document R functions using R 4Make an R package and share it via GitHub or privatelyAdd tests to R code to ensure it works as intendedUse R to talk directly to databases and do complex data managementRun R in the Amazon cloudDeploy a Shiny digital dashboardGenerate presentation-ready tables and reports using RWho This Book Is ForWorking professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.

The Revealers

by Doug Wilhelm

Throwing light on a dark problem: Parkland Middle School is a place the students call Darkland, because no one in it does much to stop the daily harassment of kids by other kids. <P><P>Three bullied seventh graders use their smarts to get the better of their tormentors by starting an unofficial e-mail forum at school in which they publicize their experiences. <P>Unexpectedly, lots of other kids come forward to confess their similar troubles, and it becomes clear that the problem at their school is bigger than anyone knew. <P>The school principal wants to clamp down on the operation, which she does when the trio, in their zealousness for revenge, libel a fellow student in what turns out to have been a setup. <P>Now a new plan of attack is needed ... <P>This suspenseful story of computer-era underground rebellion offers fresh perspectives on some of the most enduring themes in fiction for young readers.

Einsichten eines Informatikers von geringem Verstande: Glossen aus dem Informatik Spektrum

by Reinhard Wilhelm

Es ist für Fachleute wie Laien immer wieder überraschend, wie die Errungenschaften der Informatik das Leben der Menschen verbessern können, manchmal sogar in Richtungen, welche die Menschen gar nicht unbedingt wünschen. Die aus der Zeitschrift Informatik Spektrum stammenden Glossen in diesem Buch beschreiben kurzweilig und mit viel Humor viele solcher Errungenschaften: Wie sie entstehen, weshalb sie vielleicht doch nicht so groß sind und was noch auf uns zukommt.Eine amüsante Lektüre für Informatiker und ihre gequälten Anwender.

Soft Computing in Computer and Information Science

by Antoni Wiliński Imed El Fray Jerzy Pejaś

This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Further future brought new areas of interest concerning technical informatics related to soft computing and some more technological aspects of computer science such as multimedia and computer graphics, software engineering, web systems, information security and safety or project management. These topics are represented in the present book under the categories Artificial Intelligence, Design of Information and Multimedia Systems, Information Technology Security and Software Technologies.

Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

by Claus O. Wilke

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.Explore the basic concepts of color as a tool to highlight, distinguish, or represent a valueUnderstand the importance of redundant coding to ensure you provide key information in multiple waysUse the book’s visualizations directory, a graphical guide to commonly used types of data visualizationsGet extensive examples of good and bad figures; learn how to use figures in a document or report

Advanced Python Development: Using Powerful Language Features in Real-World Applications

by Matthew Wilkes

This book builds on basic Python tutorials to explain various Python language features that aren’t routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process.Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference Q&A sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable.Advanced Python Development is intended for developers who can already write simple programs in Python and want to understand when it’s appropriate to use new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python.What You'll Learn Understand asynchronous programmingExamine developing plugin architecturesWork with type annotationsReview testing techniquesExplore packaging and dependency managementWho This Book Is ForDevelopers at the mid to senior level who already have Python experience.

Drupal 7 Module Development

by John Wilkins Matt Butcher Larry Garfield

This book takes a hands-on, practical approach to software development. The authors, all professional Drupal developers and contributors to the Drupal project, provide accessible coding samples designed to exhibit not only the technical merits and abilities of Drupal, but also proper architectural and stylistic approaches to coding on one of the world's most popular content management systems. Every chapter provides fully functional code samples illustrating the APIs and strategies discussed in the chapter. With this foundation, developers can quickly build sophisticated tools on their own by making use of the strategies and techniques exemplified in this book. If you are a PHP developer or a Drupal user looking to dive into Drupal development then you will find this book an excellent introduction to coding within Drupal. Those with some Drupal experience will also find this an invaluable tool for updating their knowledge about the powerful new features of Drupal 7. Theme developers looking to extend their abilities will find this an accessible introduction to PHP coding within the Drupal environment. This book assumes that you are familiar with basic PHP programming, along with HTML and CSS. No experience with programming Drupal is required, although it is also a handy way for experienced Drupal developers to get up to speed with Drupal 7.

Implementing Oracle Integration Cloud Service

by Phil Wilkins Robert Van Molken

Understand everything you need to know about Oracle's Integration Cloud Service and how to utilize it optimally for your business About This Book • The only guide to Integration Cloud Service in the market • Focused on practical action to deliver business value • A professional's guide to an expensive product, providing comprehensive training, and showing how to extract real business value from the product Who This Book Is For This book is ideal for any IT professional working with ICS, any Oracle application or cloud solution developer or analyst who wants to work with ICS to deliver business value. What You Will Learn • Use ICS to integrate different systems together without needing to be a developer • Gain understanding of what a number of technologies and standards provide – without needing to understand the fine details of those standards and technologies • Understand the use of connectors that Oracle provide from technology based connections such as file and database connections to SaaS solutions ranging from Salesforce to Twitter • Enrich data and extend SaaS integration to route to different instances • Utilize a number of tools to help develop and check that your integrations work before connecting to live systems • Introduce and explain integration concepts so that the integrations created are maintainable and sustainable for the longer term • Provide details on how to keep up to date with the features that Oracle and partners provide in the future • Get special connections developed to work with ICS In Detail Businesses are built on data, and applications that access that data. In modern businesses the same cloud-based data stores and applications might be accessed by hundreds of different applications from thousands of different devices via APIs. To make this happen, APIs must be wired together i.e. integrated. Oracle Integration Cloud Service provides a complete method for integrating enterprise applications in the cloud. Integration Cloud Service (ICS) provides a cloud hosted means to integrate systems together using a graphical means to define and represent integrations. This book will be a comprehensive, hands-on guide to building successful, high-availability integrations on ICS. This book sets out to demonstrate how ICS can be used to effectively implement integrations that work both in the cloud and on premise. It starts with a fast, practical introduction to what ICS can do for your business and then shows how ICS allows you to develop integrations not only quickly but in a way that means they are maintainable and extensible. Gradually it moves into more advanced integrations, showing how to achieve sophisticated results with ICS and work with external applications. Finally the book shows you how to monitor cloud apps and go beyond ICS to build even more powerful integrated applications. By the end of the book, you will the knowledge on how to use ICS to solve your own integration needs and harness the technologies in a maintainable and sustainable manner. Style and approach This book will take a pragmatic approach and will be a business-focused guide to delivering business value with ICS.

Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale

by Paul Wilkinson Lars George Jan Kunigk Ian Buss

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into:Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprisePlatform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise ITTaking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Alternative Photographic Processes: Crafting Handmade Images (Alternative Process Photography)

by Brady Wilks

Alternative Photographic Processes teaches techniques, both analog & digital, allowing artists to bring a personal touch through manipulation of a photograph, the negative, and the print. This book stands apart from recent publications on alternative processes by presenting a range of new approaches and methods to achieve popular techniques, as well as providing step-by-step guidance for an array of unique techniques meant to inspire artists working in various mediums. Through detailed guidance, working artist examples, and info about the contemporary use of these processes, this book will provide instruction for students, educators, and artists to expand their creative toolbox.

From Atom Optics to Quantum Simulation

by Sebastian Will

This thesis explores ultracold quantum gases of bosonic and fermionic atoms in optical lattices. The highly controllable experimental setting discussed in this work, has opened the door to new insights into static and dynamical properties of ultracold quantum matter. One of the highlights reported here is the development and application of a novel time-resolved spectroscopy technique for quantum many-body systems. By following the dynamical evolution of a many-body system after a quantum quench, the author shows how the important energy scales of the underlying Hamiltonian can be measured with high precision. This achievement, its application, and many other exciting results make this thesis of interest to a broad audience ranging from quantum optics to condensed matter physics. A lucid style of writing accompanied by a series of excellent figures make the work accessible to readers outside the rapidly growing research field of ultracold atoms.

Technology in Education. Innovative Solutions and Practices: Third International Conference, ICTE 2018, Hong Kong, China, January 9-11, 2018, Revised Selected Papers (Communications in Computer and Information Science #843)

by Will W.K. Ma Jeanne Lam Simon K.S. Cheung Kam Cheong Li Oliver Au Wai Shing Ho

This book constitutes extended papers from the Third International Conference on Technology in Education, ICTE 2018, held in Hong Kong, China, in January 2018.The 27 full papers presented in this volume were carefully reviewed and selected from 88 submissions. They are organized in topical sections on new learning experience with technologies; mobile learning and flipped classrooms; instructional design and teaching practices; learning administration with technologies.

Blended Learning. New Challenges and Innovative Practices: 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings (Lecture Notes in Computer Science #10309)

by Will W.K. Ma Simon K.S. Cheung Lam-For Kwok Harrison Yang Lap-Kei Lee

This book constitutes the refereed proceedings of the 10th International Conference on Blended Learning, ICBL 2017, held in Hong Kong, China, in June 2017. The 42 papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections named: Keynotes; Experiences in Blended Learning; Strategies in Blended Learning; Assessment for Blended Learning; Computer-Support Collaborative Learning; Improved Flexibility of Learning Processes; Open Educational Resources; Pedagogical and Psychological Issues.

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