The concept of "Web 2.0" began with a conference brainstorming session between O'Reilly and MediaLive International. Dale Dougherty, web pioneer and O'Reilly VP, noted that far from having "crashed", the web was more important than ever, with exciting new applications and sites popping up with surprising regularity. What's more, the companies that had survived the collapse seemed to have some things in common. Could it be that the dot-com collapse marked some kind of turning point for the web, such that a call to action such as "Web 2.0" might make sense? We agreed that it did, and so the Web 2.0 Conference was born. In the year and a half since, the term "Web 2.0" has clearly taken hold, with more than 9.5 million citations in Google. But there's still a huge amount of disagreement about just what Web 2.0 means, with some people decrying it as a meaningless marketing buzzword, and others accepting it as the new conventional wisdom. This article is an attempt to clarify just what we mean by Web 2.0.

This book is a second edition, updated and expanded to explain the technologies that help us find information on the web. Search engines and web navigation tools have become ubiquitous in our day to day use of the web as an information source, a tool for commercial transactions and a social computing tool. Moreover, through the mobile web we have access to the web's services when we are on the move. This book demystifies the tools that we use when interacting with the web, and gives the reader a detailed overview of where we are and where we are going in terms of search engine and web navigation technologies.

A complete guide for web designers and developers who want to begin building and administering sites with WordPress.

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy distribution to end users, and highly customized interactive content. Introduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. The core technologies are introduced in Chapters 1-5, focusing on the specific aspects which are most relevant to web mapping. Chapters 6-13 then implement the material and demonstrate key concepts for building and publishing interactive web maps.

This book introduces standard and new HTML5 elements and attributes and CSS3 properties commonly used in Web design as well as design guidelines for their effective use. Its approach of explaining every line of code in the examples it uses to show the usage of the HTML elements and CSS properties introduced makes it an invaluable Web design resource for beginners as well as intermediates looking to fill in gaps in their knowledge. In addition, the inclusion of user-centered design process stages and how they are best managed in website development makes the book unique in its area. Also, the book's approach of including challenges after each topic to help refresh readers' knowledge, as well as make them think, ensures that there are ample activities to keep learners motivated and engaged. Key Features Comprehensively covers standard and new HTML5 elements and attributes and CSS3 properties. Includes a lot of challenges/exercises; one after each HTML element or CSS property introduced and demonstrated with examples. Example codes can be copied and pasted as-is to implement and experiment with. For every HTML element or CSS property introduced, guidelines are provided, where relevant, on how to best use them in a design to enhance usability and accessibility. Includes comprehensive explanation of flexible box and grid layout models and how to use them to create responsive and adaptive Web design. Covers the importance of visual aesthetics in design, including design elements and principles and examples of how they can be applied in Web design to produce good user experience. Includes comprehensive guidelines on how to design for standard and mobile screens, including discussion of touch gesture interaction design and standard gestures and the functions for which they are most commonly used. Introduces the stages of user-centered design process, including Web accessibility and user-experience testing, and managerial aspects of Web development, including intellectual property. Provides a brief introduction on how to make HTML and CSS codes more compact and more efficient and how to combine them with other languages commonly used in Web design and development, such as JavaScript, AJAX, and PHP.

If you are a beginner who needs a solid grounding in the best practices for creating websites, this book is for you. Written by innovative curriculum developer and university web instructor Thomas Michaud, this book provides an accessible yet comprehensive look at web design and front-end coding, covering HTML, CSS, design principles and more. You’ll learn HTML semantics, structure, and validation, and how to separate content from design using CSS (levels 1, 2, and 3). Online videos and code examples let you follow along and practice with the code. Some of the other things you’ll learn about include: • text elements, links, objects, and tables • using the box model for background images, padding, borders, and margins • fixed vs. liquid page layout • choosing between different navigation models • creating and styling forms • interactive design with JavaScript and jQuery Foundations of Web Design is an indispensable resource to quickly take you from sketching to coding.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.