While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    As a celebrated cultural critic and a writer for national publications like The Atlantic and Harper's, Alan Jacobs has spent his adult life belonging to communities that often clash in America's culture wars. And in his years of confronting the big issues that divide us--political, social, religious--Jacobs has learned that many of our fiercest disputes occur not because we're doomed to be divided, but because the people involved simply aren't thinking.Most of us don't want to think, Jacobs writes. Thinking is trouble. Thinking can force us out of familiar, comforting habits, and it can complicate our relationships with like-minded friends. Finally, thinking is slow, and that's a problem when our habits of consuming information (mostly online) leave us lost in the spin cycle of social media, partisan bickering, and confirmation bias.In this smart, endlessly entertaining book, Jacobs diagnoses the many forces that act on us to prevent thinking--forces that have only worsened in the age of Twitter, "alternative facts," and information overload--and he also dispels the many myths we hold about what it means to think well. (For example: It's impossible to "think for yourself.")Drawing on sources as far-flung as novelist Marilynne Robinson, basketball legend Wilt Chamberlain, British philosopher John Stuart Mill, and Christian theologian C.S. Lewis, Jacobs digs into the nuts and bolts of the cognitive process, offering hope that each of us can reclaim our mental lives from the impediments that plague us all. Because if we can learn to think together, maybe we can learn to live together, too.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    What you'll find here is practical magic: unique knowledge, drawn from a variety of sciences, revealing what charisma really is and how it works. You'll get both the insights and the techniques you need to apply this knowledge. The world will become your lab, and every person you meet, a chance to experiment.The Charisma Myth is a mix of fun stories, sound science, and practical tools. Cabane takes a hard scientific approach to a heretofore mystical topic, covering what charisma actually is, how it is learned, what its side effects are, and how to handle them.

    Whether they bind computers, economies, or terrorist organizations, networks are everywhere in the real world, yet only recently have scientists attempted to explain their mysterious workings.From epidemics of disease to outbreaks of market madness, from people searching for information to firms surviving crisis and change, from the structure of personal relationships to the technological and social choices of entire societies, Watts weaves together a network of discoveries across an array of disciplines to tell the story of an explosive new field of knowledge, the people who are building it, and his own peculiar path in forging this new science.

    Then came SuperFreakonomics, a documentary film, an award-winning podcast, and more.Now, with Think Like a Freak, Steven D. Levitt and Stephen J. Dubner have written their most revolutionary book yet. With their trademark blend of captivating storytelling and unconventional analysis, they take us inside their thought process and teach us all to think a bit more productively, more creatively, more rationally—to think, that is, like a Freak.Levitt and Dubner offer a blueprint for an entirely new way to solve problems, whether your interest lies in minor lifehacks or major global reforms. As always, no topic is off-limits. They range from business to philanthropy to sports to politics, all with the goal of retraining your brain. Along the way, you’ll learn the secrets of a Japanese hot-dog-eating champion, the reason an Australian doctor swallowed a batch of dangerous bacteria, and why Nigerian e-mail scammers make a point of saying they’re from Nigeria.Some of the steps toward thinking like a Freak:First, put away your moral compass—because it’s hard to see a problem clearly if you’ve already decided what to do about it.Learn to say “I don’t know”—for until you can admit what you don’t yet know, it’s virtually impossible to learn what you need to.Think like a child—because you’ll come up with better ideas and ask better questions.Take a master class in incentives—because for better or worse, incentives rule our world.Learn to persuade people who don’t want to be persuaded—because being right is rarely enough to carry the day.Learn to appreciate the upside of quitting—because you can’t solve tomorrow’s problem if you aren’t willing to abandon today’s dud.Levitt and Dubner plainly see the world like no one else. Now you can too. Never before have such iconoclastic thinkers been so revealing—and so much fun to read.

    Thaler, and Cass R. Sunstein: a revelatory look at how we make decisionsNew York Times bestsellerNamed a Best Book of the Year by The Economist and the Financial Times Every day we make choices—about what to buy or eat, about financial investments or our children’s health and education, even about the causes we champion or the planet itself. Unfortunately, we often choose poorly. Nudge is about how we make these choices and how we can make better ones. Using dozens of eye-opening examples and drawing on decades of behavioral science research, Nobel Prize winner Richard H. Thaler and Harvard Law School professor Cass R. Sunstein show that no choice is ever presented to us in a neutral way, and that we are all susceptible to biases that can lead us to make bad decisions. But by knowing how people think, we can use sensible “choice architecture” to nudge people toward the best decisions for ourselves, our families, and our society, without restricting our freedom of choice.

    It’s about how people, organizations and societies can and must hit refresh—transform—in their persistent quest for new energy, new ideas, relevance and renewal. At the core, it’s about us humans and our unique qualities, like empathy, which will become ever more valuable in a world where the torrent of technology will disrupt like never before. As much a humanist as a technologist, Nadella defines his mission and that of the company he leads as empowering every person and every organization on the planet to achieve more.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

     Based on more than 20 years of research and practice among 30,000 people in 45 countries, Getting More concludes that finding and valuing the other party s emotions and perceptions creates far more value than the conventional wisdom of power and logic. It is intended to provide better agreements for everyone no matter what they negotiate from jobs to kids to billion dollar deals to shopping. The book, a "New York Times "bestseller and #1 "Wall Street Journal "business best seller, is based on Professor Stuart Diamond s award-winning course at the Wharton Business School, where the course has been the most popular over 13 years. It challenges the conventional wisdom on every page, from win-win to BATNA to rationality to the use of power. Companies have made billions of dollars so far using his new model and parents have gotten their 4-year-olds to willingly brush their teeth and go to bed. Prof. Diamond draws from his experience as a Pulitzer Prize winning journalist at The New York Times, Harvard-trained attorney, Wharton MBA, U.N. Consultant in many countries and manager and executive in many sectors, including technology, agriculture, medical services, finance, energy and aviation. The ROI from reading "Getting "More will make it the best investment you make this year, says Rhys Dekle, the business development head of the Microsoft Games division, which produces X-Box. He added that the book was his team s best investment of the year too. The model was also used to quickly solve the 2008 Hollywood Writer s Strike. The advice is addressed through the insightful stories of more than 400 people who have used Prof. Diamond s tools with great success: A 20% savings on an item already on sale. An extra $300 million profit in a business. A woman from India getting out of her own arranged marriage. Better relationships with the family, including teenagers. Raises at work. Better jobs. Dealing with emotional situations. Meeting one s goals. Finding better things to trade. Solving cultural and political problems, sports conflicts, and ordinary arguments. The book is intended to be used in any situation. The most common response is life changing, beginning on page one. The most inspirational book I have read this year said David Simon, an attorney in San Francisco, CA. This book can change the world, says Craig Silverman, Investment Advisor, Long Island, NY"

    In today’s economy, we have far too much dismay along with our amazement, and technology bears some of the blame. In this combination of memoir, business strategy guide, and call to action, Tim O'Reilly, Silicon Valley’s leading intellectual and the founder of O’Reilly Media, explores the upside and the potential downsides of today's WTF? technologies. What is the future when an increasing number of jobs can be performed by intelligent machines instead of people, or done only by people in partnership with those machines? What happens to our consumer based societies—to workers and to the companies that depend on their purchasing power? Is income inequality and unemployment an inevitable consequence of technological advancement, or are there paths to a better future? What will happen to business when technology-enabled networks and marketplaces are better at deploying talent than traditional companies? How should companies organize themselves to take advantage of these new tools? What’s the future of education when on-demand learning outperforms traditional institutions? How can individuals continue to adapt and retrain? Will the fundamental social safety nets of the developed world survive the transition, and if not, what will replace them? O'Reilly is "the man who can really can make a whole industry happen," according to Eric Schmidt, Executive Chairman of Alphabet (Google.) His genius over the past four decades has been to identify and to help shape our response to emerging technologies with world shaking potential—the World Wide Web, Open Source Software, Web 2.0, Open Government data, the Maker Movement, Big Data, and now AI. O’Reilly shares the techniques he's used at O’Reilly Media  to make sense of and predict past innovation waves and applies those same techniques to provide a framework for thinking about how today’s world-spanning platforms and networks, on-demand services, and artificial intelligence are changing the nature of business, education, government, financial markets, and the economy as a whole. He provides tools for understanding how all the parts of modern digital businesses work together to create marketplace advantage and customer value, and why ultimately, they cannot succeed unless their ecosystem succeeds along with them.The core of the book's call to action is an exhortation to businesses to DO MORE with technology rather than just using it to cut costs and enrich their shareholders. Robots are going to take our jobs, they say. O'Reilly replies, “Only if that’s what we ask them to do! Technology is the solution to human problems, and we won’t run out of work till we run out of problems." Entrepreneurs need to set their sights on how they can use big data, sensors, and AI to create amazing human experiences and the economy of the future, making us all richer in the same way the tools of the first industrial revolution did. Yes, technology can eliminate labor and make things cheaper, but at its best, we use it to do things that were previously unimaginable! What is our poverty of imagination? What are the entrepreneurial leaps that will allow us to use the technology of today to build a better future, not just a more efficient one? Whether technology brings the WTF? of wonder or the WTF? of dismay isn't inevitable. It's up to us!

    In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables. By then, the market that Levine had sought to fix had turned upside down, birthing secretive exchanges called dark pools and a new species of trading machines that could think, and that seemed, ominously, to be slipping the control of their human masters. Dark Pools is the fascinating story of how global markets have been hijacked by trading robots--many so self-directed that humans can't predict what they'll do next.

    At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a pioneer in the field of statistics.The Lady Tasting Tea spotlights not only Fisher's theories but also the revolutionary ideas of dozens of men and women which affect our modern everyday lives. Writing with verve and wit, David Salsburg traces breakthroughs ranging from the rise and fall of Karl Pearson's theories to the methods of quality control that rebuilt postwar Japan's economy, including a pivotal early study on the capacity of a small beer cask at the Guinness brewing factory. Brimming with intriguing tidbits and colorful characters, The Lady Tasting Tea salutes the spirit of those who dared to look at the world in a new way.

    In this fascinating, provocative new book, Kevin Kelly provides an optimistic road map for the future, showing how the coming changes in our lives—from virtual reality in the home to an on-demand economy to artificial intelligence embedded in everything we manufacture—can be understood as the result of a few long-term, accelerating forces. Kelly both describes these deep trends—flowing, screening, accessing, sharing, filtering, remixing, tracking, and questioning—and demonstrates how they overlap and are codependent on one another. These larger forces will completely revolutionize the way we buy, work, learn, and communicate with each other. By understanding and embracing them, says Kelly, it will be easier for us to remain on top of the coming wave of changes and to arrange our day-to-day relationships with technology in ways that bring forth maximum benefits. Kelly’s bright, hopeful book will be indispensable to anyone who seeks guidance on where their business, industry, or life is heading—what to invent, where to work, in what to invest, how to better reach customers, and what to begin to put into place—as this new world emerges.