The calls to ban it were more or less instant.Re:cyclists is the tale of what happened next, of how we have spent two centuries wheeling our way about town and country on bikes--or on two-wheeled things that vaguely resembled what we now call bikes. Michael Hutchinson picks his way through those 200 years, discovering how cycling became a kinky vaudeville act for Parisians, how it became an American business empire, and how it went on to find a unique home in the British Isles. He considers the penny-farthing riders exploring the abandoned and lonely coaching roads during the railway era, and the Victorian high-society cyclists of the 1890s bicycle craze--a time when no aristocratic house party was without bicycles and when the Prince of Wales used to give himself an illicit thrill on a weekday afternoon by watching the women's riding-school in the Royal Albert Hall.Re:cyclists looks at how cycling became the sport, the pastime and the social life of millions of ordinary people, how it grew and how it suffered through the 1960s and '70s, and how at the dawn of the twenty-first century it rose again, much changed but still ultimately just someone careering along on two wheels.

    But do you know how to make the most of yours?World-renowned expert on the brain, memory, speed reading, creativity, and innovation Tony Buzan, inventor of Mind Maps, shares the secrets of how to stretch your memory to its fullest. Buzan has devised an ingenious system for memory improvement, geared to handle each specific memory problem--from everyday names and phone numbers to special programs for card players to showing students how to prepare for and get optimum results on exams.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Given the intricacies of the industry, it's also going to be the most resistant to change. Alan Wolk, an industry veteran and longtime analyst and observer, lays out how the television industry is adapting to the digital era, explaining what's really happening in a tone that will appeal to laypeople and insiders alike. In the first section, Wolk takes us through how the industry works today, focusing on how the various players actually make money and who pays who for what. The next section deals with the changes that are taking place in the industry today–everything from time shifting to binge viewing to cord cutting–and how those changes are starting to create some seismic shifts. In the final section, Wolk reveals his predictions for the future and what the industry will look like in ten years time. Andrew Wallenstein, co-editor-in-chief of Variety says "Alan Wolk is one of the most insightful observers writing about the media business today. There's no better expert to help you navigate the confusing, complicated nexus of TV and the Internet." David Zaslav, President and CEO of Discovery Communications says "Alan Wolk has a deep understanding of the complex nature of television today… this is a fantastic primer of the business and one of the most educated perspectives on the future of our rapidly evolving industry."

    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

    In case study format, this informative reference answers questions surrounding nuclear energy, the potential of sustainable fossil fuels, and the possibilities of sharing renewable power with foreign countries. While underlining the difficulty of minimizing consumption, the tone remains positive as it debunks misinformation and clearly explains the calculations of expenditure per person to encourage people to make individual changes that will benefit the world at large.

    This fast-moving narrative starts at ground zero, with the dramatic incubation of open-source software by Linux and its enigmatic creator, Linus Torvalds. With firsthand accounts, it describes how a motley group of programmers managed to shake up the computing universe and cause a radical shift in thinking for the post-Microsoft era. A powerful and engaging tale of innovation versus big business, Rebel Code chronicles the race to create and perfect open-source software, and provides the ideal perch from which to explore the changes that cyberculture has engendered in our society. Based on over fifty interviews with open-source protagonists such as Torvalds and open source guru Richard Stallman, Rebel Code captures the voice and the drama behind one of the most significant business trends in recent memory.

    Everyone knows that this is happening, and yet the only politics that is emerging to tackle it are coming from the increasingly nativist far-right. How should the left respond?In Beyond Barbarism, two rising stars of the British left lay down a set of proposals for a fundamental re-shaping of the global economy and offer a roadmap for tackling climate breakdown. Building on the debates surrounding the Green New Deal, debates that both authors have been central to, Lawrence and Laybourn argue that it is not enough merely to spend our way out of the crisis. Instead we need to rapidly reshape the shape and purpose of the economy, away from the emphasis on endless growth and towards creating a healthy and flourishing environment for everyone. This must be based on the principles of internationalism and the democratic ownership of the economy. Beyond Barbarism is a radical and achievable manifesto for a new politics and a new economics capable of tackling climate breakdown.

    Students can make sense of complex topics and structure their revision with mind mapping; business people can manage projects and collaborate with colleagues using mind maps, and any creative process can be supported by using a mind map to explore ideas and build upon them. Mind maps allow for greater creativity when recording ideas and information whatever the topic, and enable the note-taker to associate words with visual representations."Mind Mapping For Dummies" explains how mind mapping works, why it's so successful, and the many ways it can be used. It takes you through the wide range of approaches to mind mapping, looks at the available mind mapping software options, and investigates advanced mind mapping techniques for a range of purposes, including studying for exams, improving memory, project management, and maximizing creativity.Suitable for students of all ages and study levelsAn excellent resource for people working on creative projects who wish to use mind mapping to develop their ideasShows businesspeople how to maximize their efficiency, manage projects, and brainstorm effectivelyIf you're a student, artist, writer, or businessperson, "Mind Mapping For Dummies" shows you how to unlock your brain's potential.

    And I mean all the time. Every day there’s a new cloud-based dating app; a new cloud-based gizmo for your house; a new cloud-based game; or a thousand other new things—all in the cloud.The cloud is everywhere! Everything is in the cloud! What does it mean! Let’s slow down. Take a deep breath. That’s good. Take another. Excellent. This book teaches you all about the cloud. I’ll let you in on a little secret: the cloud is not that hard to understand. It’s not. It’s just that nobody has taken the time to explain to you what the cloud is. They haven’t, have they?Deep down I think this is because they don’t understand the cloud either, but I do. I’ve been a programmer and writer for over 30 years. I’ve been in cloud computing since the very start, and I’m here to help you on your journey to understand the cloud. Consider me your tour guide. I’ll be with you every step of the way, but not in a creepy way.I take my time with this book. I go slow and easy, so you can build up an intuition about what the cloud really is, one idea at a time. When you finish reading, you’ll understand the cloud. When you hear someone say some new cool thing is in the cloud, you’ll understand exactly what they mean. That’s a promise. How do I deliver on that promise? I use lots and lots of pictures. I use lots and lots of examples. We’ll reveal the secret inner-workings of AWS, Netflix, Facebook Messenger, Amazon Kindle, Apple iCloud, Google Maps, Nest and cloud DVRs. You’ll learn by seeing and understanding; no matter if you're a complete beginner, someone who knows a little and wants to learn more, or a programmer looking to change their career to the cloud.The cloud is the future. You don't want to miss out on the future, do you? Read this book and we'll discover it together.I’m excited. This will be fun. Let’s get started!

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    Beset from all sides by a never-ending barrage of media, how can we ensure that the most accurate information emerges and is heeded? In this book, Cass R. Sunstein develops a deeply optimisticunderstanding of the human potential to pool information, and to use that knowledge to improve our lives.In an age of information overload, it is easy to fall back on our own prejudices and insulate ourselves with comforting opinions that reaffirm our core beliefs. Crowds quickly become mobs. The justification for the Iraq war, the collapse of Enron, the explosion of the space shuttle Columbia--all ofthese resulted from decisions made by leaders and groups trapped in information cocoons, shielded from information at odds with their preconceptions. How can leaders and ordinary people challenge insular decision making and gain access to the sum of human knowledge?Stunning new ways to share and aggregate information, many Internet-based, are helping companies, schools, governments, and individuals not only to acquire, but also to create, ever-growing bodies of accurate knowledge. Through a ceaseless flurry of self-correcting exchanges, wikis, coveringeverything from politics and business plans to sports and science fiction subcultures, amass--and refine--information. Open-source software enables large numbers of people to participate in technological development. Prediction markets aggregate information in a way that allows companies, rangingfrom computer manufacturers to Hollywood studios, to make better decisions about product launches and office openings. Sunstein shows how people can assimilate aggregated information without succumbing to the dangers of the herd mentality--and when and why the new aggregation techniques are soastoundingly accurate.In a world where opinion and anecdote increasingly compete on equal footing with hard evidence, the on-line effort of many minds coming together might well provide the best path to infotopia.

    Open Source has grabbed the computer industry's attention. Netscape has opened the source code to Mozilla; IBM supports Apache; major database vendors haved ported their products to Linux. As enterprises realize the power of the open-source development model, Open Source is becoming a viable mainstream alternative to commercial software.Now in Open Sources, leaders of Open Source come together for the first time to discuss the new vision of the software industry they have created. The essays in this volume offer insight into how the Open Source movement works, why it succeeds, and where it is going.For programmers who have labored on open-source projects, Open Sources is the new gospel: a powerful vision from the movement's spiritual leaders. For businesses integrating open-source software into their enterprise, Open Sources reveals the mysteries of how open development builds better software, and how businesses can leverage freely available software for a competitive business advantage.The contributors here have been the leaders in the open-source arena:Brian Behlendorf (Apache) Kirk McKusick (Berkeley Unix) Tim O'Reilly (Publisher, O'Reilly & Associates) Bruce Perens (Debian Project, Open Source Initiative) Tom Paquin and Jim Hamerly (mozilla.org, Netscape) Eric Raymond (Open Source Initiative) Richard Stallman (GNU, Free Software Foundation, Emacs) Michael Tiemann (Cygnus Solutions) Linus Torvalds (Linux) Paul Vixie (Bind) Larry Wall (Perl) This book explains why the majority of the Internet's servers use open- source technologies for everything from the operating system to Web serving and email. Key technology products developed with open-source software have overtaken and surpassed the commercial efforts of billion dollar companies like Microsoft and IBM to dominate software markets. Learn the inside story of what led Netscape to decide to release its source code using the open-source mode. Learn how Cygnus Solutions builds the world's best compilers by sharing the source code. Learn why venture capitalists are eagerly watching Red Hat Software, a company that gives its key product -- Linux -- away.For the first time in print, this book presents the story of the open- source phenomenon told by the people who created this movement.Open Sources will bring you into the world of free software and show you the revolution.

    This encouraging change not only has benefited veterans but also provides a blueprint for salvaging America's own deeply troubled healthcare system. "Best Care Anywhere" shows how a government bureaucracy, working with little notice, is setting the standard for best practices and cost reduction while the private sector is lagging in both areas. Author Phillip Longman challenges conventional wisdom by explaining exactly how market forces work to lower quality and raise prices in the healthcare sector, and how U.S. medical practices have a weak basis in science. The book, expanded from a widely praised article in the "Washington Monthly," mixes hard facts with author Philip Longmans' compelling human story of the loss of his wife to cancer. Part manifesto, part moving memoir, "Best Care Anywhere" offers new hope for addressing a major problem of contemporary society that affects all of us.

    Weather can be deadly — especially when it strikes without warning. Millions of Americans could soon find themselves at the mercy of violent weather if the public data behind lifesaving storm alerts gets privatized for personal gain.In his first Audible Original feature, New York Times best-selling author and journalist Michael Lewis delivers hard-hitting research on not-so-random weather data — and how Washington plans to release it. He also digs deep into the lives of two scientists who revolutionized climate predictions, bringing warning systems to previously unimaginable levels of accuracy. One is Kathy Sullivan, a gifted scientist among the first women in space; the other, D.J. Patil, is a trickster-turned-mathematician and a political adviser.Most urgently, Lewis's narrative reveals the potential cost of putting a price tag on information with the potential to save lives, raising questions about balancing public service with profits in an ethically-ambiguous atmosphere.