It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions

    How to be a graphic designer without losing your soul addresses the concerns of young designers who want to earn a living by doing expressive and meaningful work, and who want to avoid becoming hired drones working on soulless projects. Written by a designer for designers, it combines practical advice with philosophical guidance to help young professionals embark on their careers. How should designers manage the creative process? What's the first step in the successful interpretation of a brief? How do you generate ideas when everything just seems blank? How to be a graphic designer offers clear, concise guidance for these questions, along with focused, no-nonsense strategies for setting up, running, and promoting a studio, finding work, and collaborating with clients.The book also includes inspiring interviews with ten leading designers, including Rudy VanderLans (Emigre), John Warwicker (Tomato), Neville Brody (Research Studios), and Andy Cruz (House Industries). All told, How to be a graphic designer covers just about every aspect of the profession, and stands as an indispensable guide for any young designer.

    Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world.Explore the importance of storytelling with a simple visualization exerciseLearn how color conveys information that our brains recognize before we're fully aware of itDiscover how the books we buy and the people we associate with reveal clues to our deeper selvesRecognize a method to the madness of air travel with a visualization of civilian air trafficFind out how researchers investigate unknown phenomena, from initial sketches to published papers Contributors include:Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.

    Three dots to represent Dallas, Houston, and San Antonio. Three arrows to show direct flights. Problem solved, and the picture made it easy to sell Southwest Airlines to investors and customers. Used properly, a simple drawing on a humble napkin is more powerful than Excel or PowerPoint. It can help crystallize ideas, think outside the box, and communicate in a way that people simply “get”. In this book Dan Roam argues that everyone is born with a talent for visual thinking, even those who swear they can’t draw. Drawing on twenty years of visual problem solving combined with the recent discoveries of vision science, this book shows anyone how to clarify a problem or sell an idea by visually breaking it down using a simple set of visual thinking tools – tools that take advantage of everyone’s innate ability to look, see, imagine, and show. THE BACK OF THE NAPKIN proves that thinking with pictures can help anyone discover and develop new ideas, solve problems in unexpected ways, and dramatically improve their ability to share their insights. This book will help readers literally see the world in a new way.

    But the truth is that the world's most successful artists did not starve. In fact, they capitalized on the power of their creative strength. In Real Artists Don't Starve, Jeff Goins debunks the myth of the starving artist by unveiling the ideas that created it and replacing them with timeless strategies for thriving, including:steal from your influences (don't wait for inspiration),collaborate with others (working alone is a surefire way to starve),take strategic risks (instead of reckless ones),make money in order to make more art (it's not selling out), andapprentice under a master (a "lone genius" can never reach full potential).Through inspiring anecdotes of successful creatives both past and present, Goins shows that living by these rules is not only doable but it's also a fulfilling way to thrive.From graphic designers and writers to artists and business professionals, creatives already know that no one is born an artist. Goins' revolutionary rules celebrate the process of becoming an artist, a person who utilizes the imagination in fundamental ways. He reminds creatives that business and art are not mutually exclusive pursuits. In fact, success in business and in life flow from a healthy exercise of creativity.Expanding upon the groundbreaking work in his previous bestseller The Art of Work, Goins explores the tension every creative person and organization faces in an effort to blend the inspired life with a practical path to success. Being creative isn't a disadvantage for success; rather, it is a powerful tool to be harnessed.

    Not in an editor, IDE, or design tool. You're well educated on how to work with software and hardware, but what about wetware--our own brains? Learning new skills and new technology is critical to your career, and it's all in your head. In this book by Andy Hunt, you'll learn how our brains are wired, and how to take advantage of your brain's architecture. You'll learn new tricks and tips to learn more, faster, and retain more of what you learn. You need a pragmatic approach to thinking and learning. You need to Refactor Your Wetware. Programmers have to learn constantly; not just the stereotypical new technologies, but also the problem domain of the application, the whims of the user community, the quirks of your teammates, the shifting sands of the industry, and the evolving characteristics of the project itself as it is built. We'll journey together through bits of cognitive and neuroscience, learning and behavioral theory. You'll see some surprising aspects of how our brains work, and how you can take advantage of the system to improve your own learning and thinking skills.In this book you'll learn how to:Use the Dreyfus Model of Skill Acquisition to become more expertLeverage the architecture of the brain to strengthen different thinking modesAvoid common "known bugs" in your mindLearn more deliberately and more effectivelyManage knowledge more efficientlyPrinted in full color.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

     In an incredibly entertaining and inspiring narrative that draws on countless stories from their work at IDEO, the Stanford d.school, and with many of the world's top companies, David and Tom Kelley identify the principles and strategies that will allow us to tap into our creative potential in our work lives, and in our personal lives, and allow us to innovate in terms of how we approach and solve problems.  It is a book that will help each of us be more productive and successful in our lives and in our careers.

    You'll learn the principles of good product behavior and gain an understanding of Cooper's Goal-Directed Design method, which involves everything from conducting user research to defining your product using personas and scenarios. Ultimately, you'll acquire the knowledge to design the best possible digital products and services.

    How Buildings Learn is a masterful new synthesis that proposes that buildings adapt best when constantly refined and reshaped by their occupants, and that architects can mature from being artists of space to becoming artists of time. From the connected farmhouses of New England to I.M. Pei's Media Lab, from "satisficing" to "form follows funding," from the evolution of bungalows to the invention of Santa Fe Style, from Low Road military surplus buildings to a High Road English classic like Chatsworth—this is a far-ranging survey of unexplored essential territory.More than any other human artifacts, buildings improve with time—if they're allowed to. How Buildings Learn shows how to work with time rather than against it.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Pressfield believes that “resistance” is the greatest enemy, and he offers many unique and helpful ways to overcome it.

    The book begins with the basic concepts of logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for a step-by-step breakdown of the most important techniques used in constructing proofs. To help students construct their own proofs, this new edition contains over 200 new exercises, selected solutions, and an introduction to Proof Designer software. No background beyond standard high school mathematics is assumed. Previous Edition Hb (1994) 0-521-44116-1 Previous Edition Pb (1994) 0-521-44663-5

    The pieces captivating listeners are by turns funny, heartbreaking, and profound. Using personal stories to breathe life into abstractions, these programs help us--all in the space of an hour or less--to understand ourselves and our world a little bit better. Each of these beloved shows has a distinct style, but every one delivers stories that are brilliantly told and produced. Out on the Wire offers an unexpected window into this new kind of storytelling--one that literally illustrates the making of a purely auditory medium.With the help of This American Life's Ira Glass, Jessica Abel, a cartoonist and devotee of narrative radio, uncovers just how radio producers construct a narrative, spilling some juicy insider details. Jad Abumrad of RadioLab talks about chasing moments of awe with scientists, while Planet Money's Robert Smith speaks candidly about his slightly goofy strategy for putting interviewees at ease. And Abel reveals how mad--really mad--Ira Glass becomes when he receives edits from his colleagues. Informative and engaging, Out on the Wire demonstrates that, even in the midst of all the other media that consumes us, radio is still very much alive.

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.