R for Data Science: Import, Tidy, Transform, Visualize, and Model Data


Hadley Wickham - 2016
    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

Why We Buy: The Science of Shopping


Paco Underhill - 1999
    Why We Buy is based on hard data gleaned from thousands of hours of field research–in shopping malls, department stores, and supermarkets across America. With his team of sleuths tracking our every move, Paco Underhill lays bare the struggle among merchants, marketers, and increasingly knowledgeable consumers for control.

Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts


Annie Duke - 2018
    The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck?Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there is always information that is hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making?Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes and bad decisions don't always lead to bad outcomes.By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate and successful in the long run.

Doing Good Better: How Effective Altruism Can Help You Make a Difference


William MacAskill - 2015
    We donate our time and money to charities and causes we deem worthy, choose careers we consider meaningful, and patronize businesses and buy products we believe make the world a better place. Unfortunately, we often base these decisions on assumptions and emotions rather than facts. As a result, even our best intentions often lead to ineffective—and sometimes downright harmful—outcomes. How can we do better? While a researcher at Oxford, trying to figure out which career would allow him to have the greatest impact, William MacAskill confronted this problem head on. He discovered that much of the potential for change was being squandered by lack of information, bad data, and our own prejudice. As an antidote, he and his colleagues developed effective altruism, a practical, data-driven approach that allows each of us to make a tremendous difference regardless of our resources. Effective altruists believe that it’s not enough to simply do good; we must do good better. At the core of this philosophy are five key questions that help guide our altruistic decisions: How many people benefit, and by how much? Is this the most effective thing I can do? Is this area neglected? What would have happened otherwise? What are the chances of success, and how good would success be? By applying these questions to real-life scenarios, MacAskill shows how many of our assumptions about doing good are misguided. For instance, he argues one can potentially save more lives by becoming a plastic surgeon rather than a heart surgeon; measuring overhead costs is an inaccurate gauge of a charity’s effectiveness; and, it generally doesn’t make sense for individuals to donate to disaster relief. MacAskill urges us to think differently, set aside biases, and use evidence and careful reasoning rather than act on impulse. When we do this—when we apply the head and the heart to each of our altruistic endeavors—we find that each of us has the power to do an astonishing amount of good.

Principles of Mathematical Analysis


Walter Rudin - 1964
    The text begins with a discussion of the real number system as a complete ordered field. (Dedekind's construction is now treated in an appendix to Chapter I.) The topological background needed for the development of convergence, continuity, differentiation and integration is provided in Chapter 2. There is a new section on the gamma function, and many new and interesting exercises are included. This text is part of the Walter Rudin Student Series in Advanced Mathematics.

Humble Inquiry: The Gentle Art of Asking Instead of Telling


Edgar H. Schein - 2013
    But all too often when we interact with people—especially those who report to us—we simply tell them what we think they need to know. This shuts them down. To generate bold new ideas, to avoid disastrous mistakes, to develop agility and flexibility, we need to practice Humble Inquiry.Ed Schein defines Humble Inquiry as “the fine art of drawing someone out, of asking questions to which you do not know the answer, of building a relationship based on curiosity and interest in the other person.” In this seminal work, Schein contrasts Humble Inquiry with other kinds of inquiry, shows the benefits Humble Inquiry provides in many different settings, and offers advice on overcoming the cultural, organizational, and psychological barriers that keep us from practicing it.