This book celebrates introverts and their many wonderful, often-underrated qualities.The story is narrated by a lovable turtle who finds socializing tiring, prefers alone time, and recharges through solitude. Each spread features 2-color illustrations of Turtle navigating life alongside a cast of pudgy animal friends. Self-identified introverts, art and comics enthusiasts will love the spare yet resonant text, adorable narrator, and delightful illustrations. This uplifting novelty book is a cute collectible or a sweet anytime gift for a friend.• BESTSELLING BOOK SERIES: Author Ton Mak delivers all the same ingredients as her bestselling book A Sloth's Guide to Mindfulness with a new (adorable) animal protagonist you'll instantly love.• INTROVERTS DESERVE TO BE CELEBRATED: Introverts are having a moment (separately, each one on their own). People are preferring to stay in rather than go out and this book makes it ok to need some alone time.Perfect for:• Introverts, and Extroverts who are secretly Introverts.• People who like turtles.• Fans of quirky comics in the style of Gemma Correll, Jomny Sun, and Yumi Sakugawa.

    Pink (author of To Sell Is Human: The Surprising Truth About Motivating Others). Told in manga—the Japanese comic book format that’s an international sensation—it’s the fully illustrated story of a young Everyman just out of college who lands his first job.Johnny Bunko is new to the Boggs Corp., and he stumbles through his early months as a working stiff until a crisis prompts him to rethink his approach. Step by step he builds a career, illustrating as he does the six core lessons of finding, keeping, and flourishing in satisfying work. A groundbreaking guide to surviving and flourishing in any career, The Adventures of Johnny Bunko is smart, engaging and insightful, and offers practical advice for anyone looking for a life of rewarding work.

      Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

    An invaluable resource for any manager or professional, this book offers a collection of proven, practical methods for simplifying any problem and making faster, better decisions every time.

    We need a brand new way to take it all in. 'Information is Beautiful' transforms the ideas surrounding and swamping us into graphs and maps that anyone can follow at a single glance.

    If it takes a book to get it across, I hope this book will do it. It ought to.”—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

    After all, a substantial number of decisions that we make in our everyday lives are quietly rooted in this one question: If something happened before, will it happen again? Is there such a thing as being in the zone? Can someone have a “hot hand”? Or is it simply a case of seeing patterns in randomness? Or, if streaks are possible, where can they be found?In The Hot Hand, Wall Street Journal reporter Ben Cohen offers an unfailingly entertaining and provocative investigation into these questions. He begins with how a $35,000 fine and a wild night in New York revived a debate about the existence of streaks that was several generations in the making. We learn how the ability to recognize and then bet against streaks turned a business school dropout named David Booth into a billionaire, and how the subconscious nature of streak-related bias can make the difference between life and death for asylum seekers. We see how previously unrecognized streaks hidden amidst archival data helped solve one of the most haunting mysteries of the twentieth century, the disappearance of Raoul Wallenberg. Cohen also exposes how streak-related incentives can be manipulated, from the five-syllable word that helped break arcade profit records to an arc of black paint that allowed Stephen Curry to transform from future junior high coach into the greatest three-point shooter in NBA history. Crucially, Cohen also explores why false recognition of nonexistent streaks can have cataclysmic results, particularly if you are a sugar beet farmer or the sort of gambler who likes to switch to black on the ninth spin of the roulette wheel.A brilliant investigation into when streaks exist and how they can be taken advantage of, The Hot Hand is essential reading for anyone who thinks they’ve got a shot.

    . . in which Sydney Padua transforms one of the most compelling scientific collaborations into a hilarious series of adventures. Meet Victorian London’s most dynamic duo: Charles Babbage, the unrealized inventor of the computer, and his accomplice, Ada, Countess of Lovelace, the peculiar protoprogrammer and daughter of Lord Byron. When Lovelace translated a description of Babbage’s plans for an enormous mechanical calculating machine in 1842, she added annotations three times longer than the original work. Her footnotes contained the first appearance of the general computing theory, a hundred years before an actual computer was built. Sadly, Lovelace died of cancer a decade after publishing the paper, and Babbage never built any of his machines. But do not despair! The Thrilling Adventures of Lovelace and Babbage presents a rollicking alternate reality in which Lovelace and Babbage do build the Difference Engine and then use it to build runaway economic models, battle the scourge of spelling errors, explore the wilder realms of mathematics, and, of course, fight crime—for the sake of both London and science. Complete with extensive footnotes that rival those penned by Lovelace herself, historical curiosities, and never-before-seen diagrams of Babbage’s mechanical, steam-powered computer, The Thrilling Adventures of Lovelace and Babbage is wonderfully whimsical, utterly unusual, and, above all, entirely irresistible.(With black-and-white illustrations throughout.)

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    This is a book of questions with answers, over-answers, and many charts: Did I screw up? How do I achieve work-life balance? Am I eating too much cheese? Do I have too many plants? Like a conversation with your non-judgmental best friend, Michelle Rial delivers a playful take on the little dilemmas that loom large in the mind of every adult through artful charts and funny, insightful questions. • Building on her popular Instagram account @michellerial, Am I Overthinking This? brings whimsical charm to topics big and small• Offers solidarity for the stressed, answers for the confused, and a good laugh for all• Michelle Rial is an illustrator, writer and photographer who has been publishing charts online for almost a decade. Her work has been featured on USA Today, Fast Company, Vox, designboom, AV Club, and more. Fans of Adulting: How to Become a Grownup in 535 Easy(ish) Steps, Thin Slices of Anxiety, and It's OK to Feel Things Deeply will relate to the humorous dilemmas in Am I Overthinking This?This book serves as a reminder that there isn't always one right answer—and that, sometimes, the only answer is to pick a path and keep moving. • A perfect coffee table, bathroom or bar top conversation-starting book• Makes a great gift for a friend who tends to think about the big and small questions a bit too much

    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

    Patton and Kevin Cannon introduce us to the grand tradition of examined living. With the wisecracking Heraclitus as our guide, we travel down the winding river of philosophy, meeting influential thinkers from nearly three millennia of Western thought and witnessing great debates over everything from ethics to the concept of the self to the nature of reality.Combining Cannon's playful artistry and Patton's humorous, instructive prose, The Cartoon Introduction to Philosophy puts the fun back into the quest for fundamental truths, imparting a love of wisdom to anyone willing to grab a paddle and join the ride.

    So get ready! It's time to cut your expenses! (Or just make sure they never pile up.)

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    From icons like Confucius, Marie Curie, and Henry David Thoreau, to Presidents Theodore Roosevelt and Calvin Coolidge, to contemporary notables like Ira Glass, Neil deGrasse Tyson, and Neil Gaiman---their words are turned into sometimes heartwarming, sometimes sobering stories by cartoonist Gavin Aung Than. Be inspired, motivated, educated, and laugh as you read famous words as never before!