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Author: Toby Segaran Publisher: "O'Reilly Media, Inc." ISBN: 0596550685 Category : Computers Languages : en Pages : 361
Book Description
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect
Author: Toby Segaran Publisher: "O'Reilly Media, Inc." ISBN: 0596550685 Category : Computers Languages : en Pages : 361
Book Description
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect
Author: Philippe Labat Publisher: ISBN: 9781716475948 Category : Languages : en Pages : 288
Book Description
How to use group dynamics to make the right decisions? Organizations evolve in a context of change, uncertainty, and complexity. Employees need to understand what is at stake and to participate in decisions. However, if managers and leaders need to mobilize collective intelligence to succeed, they have little or no training in working in large groups. Collaborative design is a development process involving stakeholders. Workshops, led by facilitators from within the company or from external firms, take place during seminars lasting one or more days. In a complex situation such as a merger, the reframing of a project, a business choice, the launch of a product, the development of an organization, or the implementation of a strategy, they bring together from fifteen to more than one hundred and fifty participants around an objective: to analyze the situation, to find out how to deal with and solve a problem, to produce shared representations or decisions, and to commit to action. This book is based on the author's proven practices. It will help executives and managers co-design and co-facilitate these workshops so that they produce tangible results. Very concrete, it is illustrated with various cases such as a large aeronautical company, a research laboratory, an industrial SME, a professional group, a cooperative, or a school. After an introduction on collaborative design, it is organized into four parts: 1. Understanding, imagining, and giving meaning 2. Planning, projecting, and giving substance 3. Expanding, improvising, and giving rhythm 4. Planting, growing, and sustaining life Each of the twenty-seven practical sections can be approached independently thanks to a common plan: issues, keys, and examples. The book is prefaced by Gabrielle Rolland, consultant in change management, speaker and writer on leadership and collective intelligence, and author of "Seniors, votre avenir a un futur" (Laffont, 2009).
Author: Pierre Levy Publisher: Basic Books ISBN: 9780738202617 Category : Science Languages : en Pages : 312
Book Description
The number of travelers along the information superhighway is increasing at a rate of 10 percent a month. How will this communications revolution affect our culture and society? Pierre Lévy shows how the unfettered exchange of ideas in cyberspace has the potential to liberate us from the social and political hierarchies that have stood in the way of mankind's advancement.Anthropologist, historian, sociologist, and philosopher, Lévy writes with a depth of scholarship and imaginative insight rare among media critics. At once a profound historical analysis of the development of human culture and a blueprint for the future, Collective Intelligence is a visionary work.
Author: Satnam Alag Publisher: Simon and Schuster ISBN: 163835538X Category : Computers Languages : en Pages : 609
Book Description
There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob. In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users. Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit. Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Author: Geoff Mulgan Publisher: Princeton University Press ISBN: 0691196168 Category : Business & Economics Languages : en Pages : 288
Book Description
"A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind"--human and machine capabilities working together--has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies"--Amazon.com.
Author: Daniele Miorandi Publisher: Springer ISBN: 3319086812 Category : Computers Languages : en Pages : 276
Book Description
The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT. Social Collective Intelligence opens a number of challenges for researchers in both computer science and social sciences; at the same time it provides an innovative approach to solve challenges in diverse application domains, ranging from health to education and organization of work. The book will provide a cohesive and holistic treatment of Social Collective Intelligence, including challenges emerging in various disciplines (computer science, sociology, ethics) and opportunities for innovating in various application areas. By going through the book the reader will gauge insight and knowledge into the challenges and opportunities provided by this new, exciting, field of investigation. Benefits for scientists will be in terms of accessing a comprehensive treatment of the open research challenges in a multidisciplinary perspective. Benefits for practitioners and applied researchers will be in terms of access to novel approaches to tackle relevant problems in their field. Benefits for policy-makers and public bodies representatives will be in terms of understanding how technological advances can support them in supporting the progress of society and economy.
Author: Thomas W. Malone Publisher: MIT Press ISBN: 0262331470 Category : Business & Economics Languages : en Pages : 230
Book Description
Experts describe the latest research in a rapidly growing multidisciplinary field, the study of groups of individuals acting collectively in ways that seem intelligent. Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent. In recent years, a new kind of collective intelligence has emerged: interconnected groups of people and computers, collectively doing intelligent things. Today these groups are engaged in tasks that range from writing software to predicting the results of presidential elections. This volume reports on the latest research in the study of collective intelligence, laying out a shared set of research challenges from a variety of disciplinary and methodological perspectives. Taken together, these essays—by leading researchers from such fields as computer science, biology, economics, and psychology—lay the foundation for a new multidisciplinary field. Each essay describes the work on collective intelligence in a particular discipline—for example, economics and the study of markets; biology and research on emergent behavior in ant colonies; human-computer interaction and artificial intelligence; and cognitive psychology and the “wisdom of crowds” effect. Other areas in social science covered include social psychology, organizational theory, law, and communications. Contributors Eytan Adar, Ishani Aggarwal, Yochai Benkler, Michael S. Bernstein, Jeffrey P. Bigham, Jonathan Bragg, Deborah M. Gordon, Benjamin Mako Hill, Christopher H. Lin, Andrew W. Lo, Thomas W. Malone, Mausam, Brent Miller, Aaron Shaw, Mark Steyvers, Daniel S. Weld, Anita Williams Woolley
Author: Patricia Bouvard Publisher: John Wiley & Sons ISBN: 1848219814 Category : Computers Languages : en Pages : 364
Book Description
This book analyses the development of Collective Intelligence by a better knowledge of the diversity of the temperaments and behavioural and relational processes. The purpose is to help the reader become a better Collective Intelligence Leader, who will be able to capitalize on the specificities and the differences of the individuals present in its collective, and transform these differences into complementarities, which are a source of wealth.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1522583637 Category : Business & Economics Languages : en Pages : 1677
Book Description
With the growth of information technology, many new communication channels and platforms have emerged. This growth has advanced the work of crowdsourcing, allowing individuals and companies in various industries to coordinate efforts on different levels and in different areas. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing: Concepts, Methodologies, Tools, and Applications is a collection of innovative research on the methods and applications of crowdsourcing in business operations and management, science, healthcare, education, and politics. Highlighting a range of topics such as crowd computing, macrotasking, and observational crowdsourcing, this multi-volume book is ideally designed for business executives, professionals, policymakers, academicians, and researchers interested in all aspects of crowdsourcing.
Author: Dawna Markova Publisher: Random House ISBN: 0812994914 Category : Business & Economics Languages : en Pages : 384
Book Description
A breakthrough book on the transformative power of collaborative thinking Collaborative intelligence, or CQ, is a measure of our ability to think with others on behalf of what matters to us all. It is emerging as a new professional currency at a time when the way we think, interact, and innovate is shifting. In the past, “market share” companies ruled by hierarchy and topdown leadership. Today, the new market leaders are “mind share” companies, where influence is more important than power, and success relies on collaboration and the ability to inspire. Collaborative Intelligence is the culmination of more than fifty years of original research that draws on Dawna Markova’s background in cognitive neuroscience and her most recent work, with Angie McArthur, as a “Professional Thinking Partner” to some of the world’s top CEOs and creative professionals. Markova and McArthur are experts at getting brilliant yet difficult people to think together. They have been brought in to troubleshoot for Fortune 500 leaders in crisis and managers struggling to inspire their teams. When asked about their biggest challenges at work, Markova and McArthur’s clients all cite a common problem: other people. This response reflects the way we have been taught to focus on the gulfs between us rather than valuing our intellectual diversity—that is, the ways in which each of us is uniquely gifted, how we process information and frame questions, what kind of things deplete us, and what engages and inspires us. Through a series of practices and strategies, the authors teach us how to recognize our own mind patterns and map the talents of our teams, with the goal of embarking together on an aligned course of action and influence. In Markova and McArthur’s experience, managers who appreciate intellectual diversity will lead their teams to innovation; employees who understand it will thrive because they are in touch with their strengths; and an entire team who understands it will come together to do their best work in a symphony of collaboration, their individual strengths working in harmony like an orchestra or a high-performing sports team. Praise for Collaborative Intelligence “Rooted in the latest neuroscience on the nature of collaboration, Collaborative Intelligence celebrates the power of working and thinking together at the highest levels of business and politics, and in the smallest aspects of our everyday lives. Dawna Markova and Angie McArthur show us that our ability to collaborate is not only a measure of intelligence, but essential to solving the world’s problems and seeing the possibilities in ourselves and others.”—Arianna Huffington “This inspiring book teaches you how to align your intention with the intention of others, and how, through shared strengths and talents, you have every right to expect greatness and set the highest goals and expectations.”—Deepak Chopra “Everyone talks about collaboration today, but the rhetoric typically outweighs the reality. Collaborative Intelligence offers tangible tools for those serious about becoming ‘system leaders’ who can close the gap and make collaboration real.”—Peter M. Senge, author of The Fifth Discipline “I have worked with Markova and McArthur for several years, focusing on achieving better results through intellectual diversity. Their approach has encouraged more candid debate and collaborative behavior within the team. The team, not individuals, becomes the hero.”—Al Carey, CEO, PepsiCo
Author: Toby Segaran
Author: Toby Segaran
Author: Philippe Labat
Author: Pierre Levy
Author: Satnam Alag
Author: Geoff Mulgan
Author: Daniele Miorandi
Author: Thomas W. Malone
Author: Patricia Bouvard
Author: Management Association, Information Resources
Author: Dawna Markova