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.

    . . like a pendulum? These may not look like math questions, but they are-because they all have to do with patterns. And mathematics, at heart, is the study of patterns. That realization changed Eddie Woo's life-by turning the "dry" subject he dreaded in high school into a boundless quest for discovery. Now an award-winning math teacher, Woo sees patterns everywhere: in the "branches" of blood vessels and lightning, in the growth of a savings account and a sunflower, even in his morning cup of tea! Here are twenty-six bite-size chapters on the hidden mathematical marvels that encrypt our email, enchant our senses, and even keep us alive-from the sine waves we hear as "music" to the mysterious golden ratio. This book will change your mind about what math can be. We are all born mathematicians-and It's a Numberful World.

    Drawing on new research, the book reveals how the landscape of higher education has shifted in recent decades and exposes the hidden truths of how the system works and whom it works for. And it introduces us to the people who really make higher education go: admissions directors trying to balance the class and balance the budget, College Board officials scrambling to defend the SAT in the face of mounting evidence that it favors the wealthy, researchers working to unlock the mysteries of the college-student brain, and educators trying to transform potential dropouts into successful graduates. With insight, humor, and passion, Paul Tough takes readers on a journey from Ivy League seminar rooms to community college welding shops, from giant public flagship universities to tiny experimental storefront colleges. Whether you are facing your own decision about college or simply care about the American promise of social mobility, The Years That Matter Most will change the way you think—not just about higher education, but about the nation itself.

    At that career level, you’ll no longer be required to work towards the next promotion, and being promoted beyond it is exceptional rather than expected. At that point your career path will branch, and you have to decide between remaining at your current level, continuing down the path of technical excellence to become a Staff Engineer, or switching into engineering management. Of course, the specific titles vary by company, and you can replace “Senior Engineer” and “Staff Engineer” with whatever titles your company prefers. Over the past few years we’ve seen a flurry of books unlocking the engineering management career path, like Camille Fournier’s The Manager’s Path, Julie Zhuo’s The Making of a Manager, Lara Hogan’s Resilient Management and my own, An Elegant Puzzle. The management career isn’t an easy one, but increasingly there are maps available for navigating it. On the other hand, the transition into Staff Engineer, and its further evolutions like Principal and Distinguished Engineer, remains challenging and undocumented. What are the skills you need to develop to reach Staff Engineer? Are technical abilities alone sufficient to reach and succeed in that role? How do most folks reach this role? What is your manager’s role in helping you along the way? Will you enjoy being a Staff Engineer or you will toil for years to achieve a role that doesn’t suit you? "Staff Engineer: Leadership beyond the management track" is a pragmatic look at attaining and operating in these Staff-plus roles.

    After the show aired, many of the 18 million viewers wrote to him about the profound impact of his servant leadership. How does a person achieve that level of success without arrogance or pride? In Love Works, Joel Manby introduces us to the power of Christlike love in the workplace. After years of leading thousands of men and women, Manby has proven that leading with love is effective, even in a business environment. Manby challenges leaders to allow integrity and faith to guide leadership decisions, outlining seven time-proven principles that break down the natural walls within corporate cultures, empowering managers and employees, disarming difficulties, and cultivating an atmosphere that builds long-term success. Manby also leverages the undeniable truth that love builds healthy relationships at home---why not use the same behavior to build healthy relationships at work?

    Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not.Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations.In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as:How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there.Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up.Praise for NumbersenseNumbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned--in short, a great way to acquire your own sense of numbers!Thomas H. Davenport, coauthor of Competing on Analytics and President's Distinguished Professor of IT and Management, Babson CollegeKaiser's accessible business book will blow your mind like no other. You'll be smarter, and you won't even realize it. Buy. It. Now.Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.John Sall, Executive Vice President, SAS InstituteKaiser Fung breaks the bad news--a ton more data is no panacea--but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn't an advanced degree, nor is it common sense. You need Numbersense.Eric Siegel, founder, Predictive Analytics World, and author, Predictive AnalyticsI laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence

    If you are on social media, you are in marketing. And that means that we are all relying on our words to carry our marketing messages. We are all writers.Yeah, but who cares about writing anymore? In a time-challenged world dominated by short and snappy, by click-bait headlines and Twitter streams and Instagram feeds and gifs and video and Snapchat and YOLO and LOL and #tbt. . . does the idea of focusing on writing seem pedantic and ordinary?Actually, writing matters more now, not less. Our online words are our currency; they tell our customers who we are.Our writing can make us look smart or it can make us look stupid. It can make us seem fun, or warm, or competent, or trustworthy. But it can also make us seem humdrum or discombobulated or flat-out boring.That means you've got to choose words well, and write with economy and the style and honest empathy for your customers. And it means you put a new value on an often-overlooked skill in content marketing: How to write, and how to tell a true story really, really well. That's true whether you're writing a listicle or the words on a Slideshare deck or the words you're reading right here, right now...And so being able to communicate well in writing isn't just nice; it's necessity. And it's also the oft-overlooked cornerstone of nearly all our content marketing.In Everybody Writes, top marketing veteran Ann Handley gives expert guidance and insight into the process and strategy of content creation, production and publishing, with actionable how-to advice designed to get results.These lessons and rules apply across all of your online assets — like web pages, home page, landing pages, blogs, email, marketing offers, and on Facebook, Twitter, LinkedIn, and other social media. Ann deconstructs the strategy and delivers a practical approach to create ridiculously compelling and competent content. It's designed to be the go-to guide for anyone creating or publishing any kind of online content — whether you're a big brand or you're small and solo.Sections include: How to write better. (Or, for "adult-onset writers": How to hate writing less.) Easy grammar and usage rules tailored for business in a fun, memorable way. (Enough to keep you looking sharp, but not too much to overwhelm you.) Giving your audience the gift of your true story, told well. Empathy and humanity and inspiration are key here, so the book covers that, too. Best practices for creating credible, trustworthy content steeped in some time-honored rules of solid journalism. Because publishing content and talking directly to your customers is, at its heart, a privilege. "Things Marketers Write": The fundamentals of 17 specific kinds of content that marketers are often tasked with crafting. Content Tools: The sharpest tools you need to get the job done. Traditional marketing techniques are no longer enough. Everybody Writes is a field guide for the smartest businesses who know that great content is the key to thriving in this digital world.

    It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace's sorry step-brother, and Uber was a scrappy upstart that didn't stand a chance against the Goliath that was New York City Yellow Cabs.So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn't explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies' extraordinary rise. That methodology is called Growth Hacking, and it's practitioners include not just today's hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of GrowthHackers.com.Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and "spaghetti-on-the-wall" approaches with more consistent, replicable, cost-effective, and data-driven results.

    For anyone who has ever wondered what it was like inside Thomas Edison's lab or the Wright Brothers' garage, here is the twenty-first century equivalent. This is the story behind the creation of "Ginger, " code name for the top-secret project that renowned inventor and entrepreneur Dean Kamen believes will change the world: the Segway Human Transporter. One of the most talked-about products of recent times, the Segway is a self-balancing, electronic "people mover"--an engineering marvel that Kamen calls "magic sneakers." Kamen gave journalist Steve Kemper exclusive access to the project for the critical eighteen months during which the Segway was designed, prototyped, and readied for manufacture. In Code Name Ginger, Kemper offers a gripping chronicle of raw innovation, high finance, ingenious engineering, and lofty ambition. He tells the inside story of the collaboration and clashes between a strong-willed founder and his engineers and marketers--and the investors who gambled $90 million on his pioneering idea. Readers step into Kamen's eccentric and idealistic world of invention and sit in on secret meetings with high-powered deal makers such as John Doerr and business leaders such as Steve Jobs and Jeff Bezos. It's a bumpy journey, but an exhilarating one, filled with flashes of brilliance, multimillion-dollar misjudgments, and passionate people on a quest.

    It will enable making a design for almost any kind of building, or any part of the built environment. ‘Patterns,’ the units of this language, are answers to design problems: how high should a window sill be?; how many stories should a building have?; how much space in a neighborhood should be devoted to grass and trees?More than 250 of the patterns in this language are outlined, each consisting of a problem statement, a discussion of the problem with an illustration, and a solution. As the authors say in their introduction, many of the patterns are archetypal, so deeply rooted in the nature of things that it seems likely that they will be a part of human nature and human action as much in five hundred years as they are today.A Pattern Language is related to Alexander’s other works in the Center for Environmental Structure series: The Timeless Way of Building (introductory volume) and The Oregon Experiment.

    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

    Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

    Metaphor, the authors explain, is a fundamental mechanism of mind, one that allows us to use what we know about our physical and social experience to provide understanding of countless other subjects. Because such metaphors structure our most basic understandings of our experience, they are "metaphors we live by", metaphors that can shape our perceptions and actions without our ever noticing them.In this updated edition of Lakoff and Johnson's influential book, the authors supply an afterword surveying how their theory of metaphor has developed within the cognitive sciences to become central to the contemporary understanding of how we think and how we express our thoughts in language.

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller

    These objects and spaces encode decades, even centuries of changing ideas about what makes for good child-rearing--and what does not. Do you choose wooden toys, or plastic, or, increasingly, digital? What do youngsters lose when seesaws are deemed too dangerous and slides are designed primarily for safety? How can the built environment help children cultivate self-reliance? In these debates, parents, educators, and kids themselves are often caught in the middle.Now, prominent design critic Alexandra Lange reveals the surprising histories behind the human-made elements of our children's pint-size landscape. Her fascinating investigation shows how the seemingly innocuous universe of stuff affects kids' behavior, values, and health, often in subtle ways. And she reveals how years of decisions by toymakers, architects, and urban planners have helped--and hindered--American youngsters' journeys toward independence. Seen through Lange's eyes, everything from the sandbox to the street becomes vibrant with buried meaning. The Design of Childhood will change the way you view your children's world--and your own.