Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    Little has changed, however, since then: over half of our children still read at a basic level and few become highly proficient. Many American children and adults are not functionally literate, with serious consequences. Poor readers are more likely to drop out of the educational system and as adults are unable to fully participate in the workforce, adequately manage their own health care, or advance their children's education. In Language at the Speed of Sight, internationally renowned cognitive scientist Mark Seidenberg reveals the underexplored science of reading, which spans cognitive science, neurobiology, and linguistics. As Seidenberg shows, the disconnect between science and education is a major factor in America's chronic underachievement. How we teach reading places many children at risk of failure, discriminates against poorer kids, and discourages even those who could have become more successful readers. Children aren't taught basic print skills because educators cling to the disproved theory that good readers guess the words in texts, a strategy that encourages skimming instead of close reading. Interventions for children with reading disabilities are delayed because parents are mistakenly told their kids will catch up if they work harder. Learning to read is more difficult for children who speak a minority dialect in the home, but that is not reflected in classroom practices. By building on science's insights, we can improve how our children read, and take real steps toward solving the inequality that illiteracy breeds. Both an expert look at our relationship with the written word and a rousing call to action, Language at the Speed of Sight is essential for parents, educators, policy makers, and all others who want to understand why so many fail to read, and how to change that.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Marketers want to change their customers’ minds and leaders want to change organizations. Start-ups want to change industries and nonprofits want to change the world. But change is hard. Often, we persuade and pressure and push, but nothing moves. Could there be a better way?This book takes a different approach. Successful change agents know it’s not about pushing harder, or providing more information, it’s about being a catalyst. Catalysts remove roadblocks and reduce the barriers to change. Instead of asking, “How could I change someone’s mind?” they ask a different question: “Why haven’t they changed already? What’s stopping them?”The Catalyst identifies the key barriers to change and how to mitigate them. You’ll learn how catalysts change minds in the toughest of situations: how hostage negotiators get people to come out with their hands up and how marketers get new products to catch on, how leaders transform organizational culture and how activists ignite social movements, how substance abuse counselors get addicts to realize they have a problem, and how political canvassers change deeply rooted political beliefs.This book is designed for anyone who wants to catalyze change. It provides a powerful way of thinking and a range of techniques that can lead to extraordinary results. Whether you’re trying to change one person, transform an organization, or shift the way an entire industry does business, this book will teach you how to become a catalyst.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    We obsess over our emails, Instagram likes, and Facebook feeds; we binge on TV episodes and YouTube videos; we work longer hours each year; and we spend an average of three hours each day using our smartphones. Half of us would rather suffer a broken bone than a broken phone, and Millennial kids spend so much time in front of screens that they struggle to interact with real, live humans. In this revolutionary book, Adam Alter, a professor of psychology and marketing at NYU, tracks the rise of behavioral addiction, and explains why so many of today's products are irresistible. Though these miraculous products melt the miles that separate people across the globe, their extraordinary and sometimes damaging magnetism is no accident. The companies that design these products tweak them over time until they become almost impossible to resist. By reverse engineering behavioral addiction, Alter explains how we can harness addictive products for the good—to improve how we communicate with each other, spend and save our money, and set boundaries between work and play—and how we can mitigate their most damaging effects on our well-being, and the health and happiness of our children.

     This graphic novel recounts the spiritual odyssey of philosopher Bertrand Russell. In his agonized search for absolute truth, he crosses paths with thinkers like Gottlob Frege, David Hilbert & Kurt Gödel, & finds a passionate student in Ludwig Wittgenstein. But his most ambitious goal—to establish unshakable logical foundations of mathematics—continues to loom before him. Thru love & hate, peace & war, he persists in the mission threatening to claim both his career & happiness, finally driving him to the brink of insanity. This story is at the same time a historical novel & an accessible explication of some of the biggest ideas of mathematics & modern philosophy. With rich characterizations & atmospheric artwork, it spins the pursuit of such ideas into a satisfying tale. Probing, layered, the book throws light on Russell’s inner struggles while setting them in the context of the timeless questions he tried to answer. At its heart, Logicomix is a story about the conflict between ideal rationality & the flawed fabric of reality.

    Whether you’re deciding which smart phone to purchase or which politician to believe, you think you are a rational being whose every decision is based on cool, detached logic, but here’s the truth: You are not so smart. You’re just as deluded as the rest of us--but that’s okay, because being deluded is part of being human. Growing out of David McRaney’s popular blog, You Are Not So Smart reveals that every decision we make, every thought we contemplate, and every emotion we feel comes with a story we tell ourselves to explain them, but often these stories aren’t true. Each short chapter--covering topics such as Learned Helplessness, Selling Out, and the Illusion of Transparency--is like a psychology course with all the boring parts taken out.Bringing together popular science and psychology with humor and wit, You Are Not So Smart is a celebration of our irrational, thoroughly human behavior.

    Aggretsuko is all the RAGE. Sanrio's newest character is a 25-year-old red panda with her own Netflix show, and a stressful work life that's all too relatable. Featuring art from the popular videos and Sanrio products combined with sidebars and prescriptive tips and advice for handling tricky workplace situations, this is a humorous and gifty book. - The first character Sanrio created specifically for adults, Aggretsuko is both a cute, endearing red panda just going about her life, and the fed up office worker who's tired of being pushed around. - In this helpful handbook, Aggretsuko offers tips on how to deal with annual holiday parties, avoid colleagues after hours, circumvent oversharing coworkers, and most importantly–how to RAGE (preferably in heavy-metal karaoke sessions). - A must-have for anyone who needs help staying sane from 9 to 5.Fans of Aggretuko Reversible Journal will love The Aggretsuko Guide To Office LifeThis book is perfect for: - Women 18-34 - Millennials - Sanrio fans - Comic fans - Internet comic enthusiasts - Animal lovers - Fans of Japanese pop culture ©'18 SANRIO CO., LTD. Used Under License.

    But for those of us who left math behind in high school, the numbers and figures hurled at us as we go about our days can sometimes leave us scratching our heads and feeling as if we’re fumbling through a mathematical minefield. In this eye-opening and extraordinarily accessible book, mathemati­cian Kit Yates illuminates hidden principles that can help us understand and navigate the chaotic and often opaque surfaces of our world. In The Math of Life and Death, Yates takes us on a fascinating tour of everyday situations and grand-scale applications of mathematical concepts, including exponential growth and decay, optimization, statistics and probability, and number systems. Along the way he reveals the mathematical undersides of controversies over DNA testing, medical screening results, and historical events such as the Chernobyl disaster and the Amanda Knox trial. Readers will finish this book with an enlightened perspective on the news, the law, medicine, and history, and will be better equipped to make personal decisions and solve problems with math in mind, whether it’s choosing the shortest checkout line at the grocery store or halting the spread of a deadly disease.

    In The Perfect Bet, mathematician and award-winning writer Adam Kucharski tells the astonishing story of how the experts have succeeded, revolutionizing mathematics and science in the process. The house can seem unbeatable. Kucharski shows us just why it isn't. Even better, he demonstrates how the search for the perfect bet has been crucial for the scientific pursuit of a better world.

    Seuss was drawing biting cartoons for adults that expressed his fierce opposition to anti-Semitism and fascism. An editorial cartoonist from 1941 to 1943 for PM magazine, a left-wing daily New York newspaper, Dr. Seuss launched a battle against dictatorial rule abroad and America First (an isolationist organization that argued against U.S. entry into World War II) with more than 400 cartoons urging the United States to fight against Adolf Hitler and his cohorts in fascism, Benito Mussolini, Pierre Laval, and Japan (he never depicted General Tojo Hideki, the wartime prime minister, or Togo Shigenori, the foreign minister). Dr. Seuss Goes to War, by Richard H. Minear, includes 200 of these cartoons, demonstrating the active role Dr. Seuss played in shaping and reflecting how America responded to World War II as events unfolded.As one of America's leading historians of Japan during World War II, Minear also offers insightful commentary on the historical and political significance of this immense body of work that, until now, has not been seriously considered as part of Dr. Seuss's extraordinary legacy.Born to a German-American family in Springfield, Massachusetts, in 1904, Theodor Geisel began his cartooning career at Dartmouth College, where he contributed to the humor magazine. After a run-in with college authorities for bootlegging liquor, he had to use a pseudonym to get his work published, choosing his middle name, Seuss, and adding "Dr." several years later when he dropped out of graduate school at Oxford University in England. He had never planned on setting poison political pen to paper until he realized his deep hatred of Italian fascism. The first editorial cartoon he drew depicts the editor of the fascist paper Il Giornale d'Italia wearing a fez (part of Italy's fascist uniform) and banging away at a giant steam typewriter while a winged Mussolini holds up the free end of the banner of paper emerging from the roll. He submitted it to a friend at PM, an outspoken political magazine that was "against people who push other people around," and began his two-year career with the magazine before joining the U.S. Army as a documentary filmmaker in 1943.Dr. Seuss's first caricature of Hitler appears in the May 1941 cartoon, "The head eats, the rest gets milked," portraying the dictator as the proprietor of "Consolidated World Dairy," merging 11 conquered nations into one cow. Hitler went on to become one of the main caricatures in Seuss's work for the next two years, depicted alone, among his generals and other Germans, and with his allies Benito Mussolini and Pierre Laval. He is also drawn alongside "Japan," which Dr. Seuss portrays quite offensively, with slanted, bespectacled eyes and a sneering grin. While Dr. Seuss was outspoken against antiblack racism in the United States, he held a virulent disdain for the Japanese and rendered sinister and, at times, slanderous caricatures of their wartime actions even before the bombing of Pearl Harbor. But Dr. Seuss's aggression wasn't solely reserved for the fascists abroad. He was also loudly critical of America's initial apathy toward the war, skewering isolationists like America First advocate Charles Lindbergh, the Chicago Tribune's Colonel Robert McCormick, Eleanor Medill Patterson of the Washington Times-Herald, and Joseph Patterson of the New York Daily News, whom he considered as evil as Hitler. He encouraged Americans to buy war savings bonds and stamps and to do everything they could to ensure victory over fascism.Minear provides historical background in Dr. Seuss Goes to War that not only serves to contextualize these cartoons but also deftly explains the highly problematic anti-Japanese and anticommunist stances held by both Dr. Seuss and PM magazine, which contradicted the leftist sentiments to which they both eagerly adhered. As Minear notes, Dr. Seuss eventually softened his feelings toward communism as Russia and the United States were united on the Allied front, but his stereotypical portrayals of Japanese and Japanese-Americans grew increasingly and undeniably racist as the war raged on, reflecting the troubling public opinion of American citizens. Minear does not attempt to ignore or redeem Dr. Seuss's hypocrisy; rather, he shows how these cartoons evoke the mood and the issues of the era. After Dr. Seuss left PM magazine, he never drew another editorial cartoon, though we find in these cartoons the genesis of his later characters Yertle the dictating turtle and the Cat in the Hat, who bears a striking resemblance to Uncle Sam. Dr. Seuss Goes to War is an astonishing collection of work that many of his devoted fans have not been able to see until now. But this book is also a comprehensive, thoughtfully researched, and exciting history lesson of the Second World War, by a writer who loves Dr. Seuss as much as those who grow up with his books do.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    The Fangirl’s Guide to the Galaxy is the ultimate handbook for ladies living the nerdy life, a fun and feminist take on the often male-dominated world of geekdom. With delightful illustrations and an unabashed love for all the in(ternet)s and outs of geek culture, this book is packed with tips, playthroughs, and cheat codes for everything from starting an online fan community to planning a convention visit to supporting fellow female geeks in the wild.

    Most of the time this math works quietly behind the scenes . . . until it doesn't. All sorts of seemingly innocuous mathematical mistakes can have significant consequences.Math is easy to ignore until a misplaced decimal point upends the stock market, a unit conversion error causes a plane to crash, or someone divides by zero and stalls a battleship in the middle of the ocean.Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.