“Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples

    We want them to buy something, read more, or take action of some kind. Designing without understanding what makes people act the way they do is like exploring a new city without a map: results will be haphazard, confusing, and inefficient. This book combines real science and research with practical examples to deliver a guide every designer needs. With it you'll be able to design more intuitive and engaging work for print, websites, applications, and products that matches the way people think, work, and play.Learn to increase the effectiveness, conversion rates, and usability of your own design projects by finding the answers to questions such as: What grabs and holds attention on a page or screen?What makes memories stick?What is more important, peripheral or central vision?How can you predict the types of errors that people will make?What is the limit to someone's social circle?How do you motivate people to continue on to (the next step?What line length for text is best?Are some fonts better than others? These are just a few of the questions that the book answers in its deep-dive exploration of what makes people tick.

    And it’s still short, profusely illustrated…and best of all–fun to read.If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.

    Fortunately, results from the relatively new science of human visual perception provide valuable guidance. In Visual Thinking for Design, Colin Ware takes what we now know about perception, cognition, and attention and transforms it into concrete advice that designers can directly apply. He demonstrates how designs can be considered as tools for cognition - extensions of the viewer’s brain in much the same way that a hammer is an extension of the user’s hand. Experienced professional designers and students alike will learn how to maximize the power of the information tools they design for the people who use them.• Presents visual thinking as a complex process that can be supported in every stage using specific design techniques.• Provides practical, task-oriented information for designers and software developers charged with design responsibilities.• Includes hundreds of examples, many in the form of integrated text and full-color diagrams.• Steeped in the principles of “active vision,” which views graphic designs as cognitive tools.

    Now, he takes us further into the design realm and shows how we can apply time-honored design principles to presentation layouts.Throughout Presentation Zen Design, Garr shares his lessons on designing effective presentations that contain text, graphs, color, images, and video. After establishing guidelines for each of the various elements, he explains how to achieve an overall harmony and balance using the tenets of Zen simplicity. Not only will you discover how to design your slides for more professional-looking presentations, you'll learn to communicate more clearly and will accomplish the goal of making a stronger, more lasting connection with your audience.

     It is easy to be overwhelmed by the amount of information we encounter each day. Whether at work, at school, or in our personal endeavors, there’s a deepening (and inescapable) need for people to work with and understand information. Information architecture is the way that we arrange the parts of something to make it understandable as a whole. When we make things for others to use, the architecture of information that we choose greatly affects our ability to deliver our intended message to our users. We all face messes made of information and people. I define the word “mess” the same way that most dictionaries do: “A situation where the interactions between people and information are confusing or full of difficulties.” — Who doesn’t bump up against messes made of information and people every day? This book provides a seven step process for making sense of any mess. Each chapter contains a set of lessons as well as workbook exercises architected to help you to work through your own mess.

    The reality is that most innovations come from a process of rigorous examination through which great ideas are identified and developed before being realized as new offerings and capabilities.This book introduces the idea of design thinking‚ the collaborative process by which the designer′s sensibilities and methods are employed to match people′s needs not only with what is technically feasible and a viable business strategy. In short‚ design thinking converts need into demand. It′s a human−centered approach to problem solving that helps people and organizations become more innovative and more creative.Design thinking is not just applicable to so−called creative industries or people who work in the design field. It′s a methodology that has been used by organizations such as Kaiser Permanente to icnrease the quality of patient care by re−examining the ways that their nurses manage shift change‚ or Kraft to rethink supply chain management. This is not a book by designers for designers; this is a book for creative leaders seeking to infuse design thinking into every level of an organization‚ product‚ or service to drive new alternatives for business and society.

    Founded on Jacques Bertin’s practical experience as a cartographer, Part One of this work is an unprecedented attempt to synthesize principles of graphic communication with the logic of standard rules applied to writing and topography. Part Two brings Bertin’s theory to life, presenting a close study of graphic techniques including shape, orientation, color, texture, volume, and size in an array of more than 1,000 maps and diagrams.

    It is the product of preparation and effort, and it's within reach of everyone who wants to achieve it. All it takes is the willingness to make creativity a habit, an integral part of your life: In order to be creative, you have to know how to prepare to be creative. In The Creative Habit, Tharp takes the lessons she has learned in her remarkable thirty-five-year career and shares them with you, whatever creative impulses you follow -- whether you are a painter, composer, writer, director, choreographer, or, for that matter, a businessperson working on a deal, a chef developing a new dish, a mother wanting her child to see the world anew. When Tharp is at a creative dead end, she relies on a lifetime of exercises to help her get out of the rut, and The Creative Habit contains more than thirty of them to ease the fears of anyone facing a blank beginning and to open the mind to new possibilities. Tharp's exercises are practical and immediately doable -- for the novice or expert. In "Where's Your Pencil?" she reminds us to observe the world -- and get it down on paper. In "Coins and Chaos," she provides the simplest of mental games to restore order and peace. In "Do a Verb," she turns your mind and body into coworkers. In "Build a Bridge to the Next Day," she shows how to clean your cluttered mind overnight. To Tharp, sustained creativity begins with rituals, self-knowledge, harnessing your memories, and organizing your materials (so no insight is ever lost). Along the way she leads you by the hand through the painful first steps of scratching for ideas, finding the spine of your work, and getting out of ruts into productive grooves. In her creative realm, optimism rules. An empty room, a bare desk, a blank canvas can be energizing, not demoralizing. And in this inventive, encouraging book, Twyla Tharp shows us how to take a deep breath and begin!

    Doing something that’s genuinely better is very hard.” —Jony IveIn 1997, Steve Jobs returned to Apple as CEO with the unenviable task of turning around the company he had founded. One night, Jobs discovered a scruffy British designer toiling away at Apple’s corporate headquarters, surrounded by hundreds of sketches and prototypes. It was then that Jobs realized he had found a talent who could reverse the company’s long decline.That young designer was Jony Ive. Jony Ive’s collaboration with Jobs would produce some of the world’s most iconic technology products, including the iMac, iPod, iPad, and iPhone. The designs have not only made Apple a hugely valuable company, they’ve overturned entire industries, built a loyal fan base, and created a globally powerful brand. Along the way, Jony Ive has become the world’s leading technology innovator, won countless design awards, earned a place on the 2013 Time 100 list, and was even knighted for his “services to design and enterprise.”Yet despite his triumphs, little is known about the shy and soft-spoken whiz whom Jobs referred to as his “spiritual partner” at Apple. Jony Ive reveals the true story of Apple’s real innovator-in-chief.Leander Kahney, the bestselling author of Inside Steve’s Brain, offers a detailed portrait of a creative genius. He shows us how Jony Ive went from an English art school student with dyslexia to the man whose immense insights have altered the pattern of our lives. From his early interest in industrial design, fostered by his designer father, through his education at Newcastle Polytechnic and meteoric rise at Apple, we discover the principles and practices that he developed to become the designer of his generation.Based on interviews with Jony Ive’s former colleagues and Kahney’s own familiarity with the world of Apple, this book gives insight into how Jony Ive (now senior vice president of design) has redefined the ways in which we work, entertain, and communicate with one another.

    We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    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