Mandelbrot, one of the century's most influential mathematicians, is world-famous for making mathematical sense of a fact everybody knows but that geometers from Euclid on down had never assimilated: Clouds are not round, mountains are not cones, coastlines are not smooth. To these classic lines we can now add another example: Markets are not the safe bet your broker may claim. In his first book for a general audience, Mandelbrot, with co-author Richard L. Hudson, shows how the dominant way of thinking about the behavior of markets-a set of mathematical assumptions a century old and still learned by every MBA and financier in the world-simply does not work. As he did for the physical world in his classic The Fractal Geometry of Nature, Mandelbrot here uses fractal geometry to propose a new, more accurate way of describing market behavior. The complex gyrations of IBM's stock price and the dollar-euro exchange rate can now be reduced to straightforward formulae that yield a far better model of how risky they are. With his fractal tools, Mandelbrot has gotten to the bottom of how financial markets really work, and in doing so, he describes the volatile, dangerous (and strangely beautiful) properties that financial experts have never before accounted for. The result is no less than the foundation for a new science of finance.

    This is how engineers calculate your quality of living, how corporations determine your needs, and how politicians estimate your opinions. These are the numbers you never think about-even though they play a crucial role in every single aspect of your life.What you learn may surprise you, amuse you, or even enrage you. But there's one thing you won't be able to deny: Numbers Rule Your World...An easy read with a big benefit. --Fareed Zakaria, CNNFor those who have anxiety about how organization data-mining is impacting their world, Kaiser Fung pulls back the curtain to reveal the good and the bad of predictive analytics. --Ian Ayres, Yale professor and author of Super Crunchers: Why Thinking By Numbers is the New Way to Be Smart A book that engages us with stories that a journalist would write, the compelling stories behind the stories as illuminated by the numbers, and the dynamics that the numbers reveal. --John Sall, Executive Vice President, SAS InstituteLittle did I suspect, when I picked up Kaiser Fung's book, that I would become so entranced by it - an illuminating and accessible exploration of the power of statistical analysis for those of us who have no prior training in a field that he explores so ably. --Peter Clarke, author of Keynes: The Rise, Fall, and Return of the 20th Century's Most Influential EconomistA tremendous book. . . . If you want to understand how to use statistics, how to think with numbers and yet to do this without getting lost in equations, if you've been looking for the book to unlock the door to logical thinking about problems, well, you will be pleased to know that you are holding that book in your hands. --Daniel Finkelstein, Executive Editor, The Times of LondonI thoroughly enjoyed this accessible book and enthusiastically recommend it to anyone looking to understand and appreciate the role of statistics and data analysis in solving problems and in creating a better world. --Michael Sherman, Texas A&M University, American Statistician

    Houses, health care and higher education have become unaffordable to a majority of people, while the burden of unregulated monopolies, globalization and uncontrolled immigration has fallen disproportionately on the lower and middle classes. Wrapped in political correctness, an increasingly out of touch Western elite continues catering to special interests and fails to grasp the urgency for change. Populist movements harnessing public anger appear unable to propose and implement effective solutions. The last financial crisis was bad enough. But the next crisis will spread deeper and wider. And yet we stand economically, politically and most of all intellectually unprepared. This book is the story of how we have arrived at the brink of disaster and how we can move away from the win-lose policies of recent decades to restore much-needed balance.

    Much greater than space travel or perhaps even the next revolutionary medical breakthrough, what is at stake is the whole idea of the good life as we have known it.Immigration and inequality, globalization and technological disruption, slowing growth and accelerating climate change--these are sources of great anxiety across the world, from New Delhi and Dakar to Paris and Washington, DC. The resources to address these challenges are there--what we lack are ideas that will help us jump the wall of disagreement and distrust that divides us. If we succeed, history will remember our era with gratitude; if we fail, the potential losses are incalculable.In this revolutionary book, renowned MIT economists Abhijit V. Banerjee and Esther Duflo take on this challenge, building on cutting-edge research in economics explained with lucidity and grace. Original, provocative, and urgent, Good Economics for Hard Times makes a persuasive case for an intelligent interventionism and a society built on compassion and respect and show how economics, when done right, can help us solve the thorniest social and political problems of the day. It is an extraordinary achievement, one that shines a light to help us appreciate and understand our precariously balanced world.

    As these divides deepen, we have lost the sense of ethical obligation to others that was crucial to the rise of post-war social democracy. So far these rifts have been answered only by the revivalist ideologies of populism and socialism, leading to the seismic upheavals of Trump, Brexit, and the return of the far-right in Germany. We have heard many critiques of capitalism but no one has laid out a realistic way to fix it, until now.In a passionate and polemical book, celebrated economist Paul Collier outlines brilliantly original and ethical ways of healing these rifts—economic, social and cultural—with the cool head of pragmatism, rather than the fervor of ideological revivalism. He reveals how he has personally lived across these three divides, moving from working-class Sheffield to hyper-competitive Oxford, and working between Britain and Africa, and acknowledges some of the failings of his profession.Drawing on his own solutions as well as ideas from some of the world’s most distinguished social scientists, he shows us how to save capitalism from itself—and free ourselves from the intellectual baggage of the twentieth century.

    Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text.

    No governments, no companies, no central banks, no money printing. It’s a revolution as big as the internet. And it’s never been hacked.Entrepreneur and investor Jason A. Williams is the first author to put bitcoin in context of the 2020 crisis - a year of financial disaster and unprecedented money creation (money printer go brrr!)Not only was bitcoin the best-performing asset on the planet in 2020, it quietly established itself as the next global reserve currency as central banks around the world desperately printed their money into oblivion.Hard Money You Can’t F*ck With explains bitcoin in simple, readable terms and maps out how this ‘magic internet money’ will grow into the best form of money we’ve ever had.What’s inside?Part 1: Why Bitcoin Matters Now- What is bitcoin?- Who created it?- Why bitcoin is ‘money you can’t f*ck with’- How bitcoin emerged out of the 2008 banking crisis.- Why money printing slowly destroys your wealth.Part 2: A brief history of money (and money printing)- Take a step back and learn ‘what exactly is money?’- Why ‘printing cash’ has always led to the death of currency.- Why bitcoin is the best form of money ever created.Part 3: How bitcoin becomes the next global reserve currency- A deep dive into the 2020 financial crisis and how bitcoin emerged strongest- The emergence of national digital currencies to compete.- Why some nation states are now holding and trading in bitcoin.

    In just five years, they turned a declining franchise with no immediate hope into one of the greatest teams in basketball, a period that included the rise of All-Star point guard Stephen Curry and two NBA championships in the past three years. By operating in "beta"—always innovating, unafraid to embrace change, encouraging risk—the Warriors have become a model organization for American professional sports, instituting the best workplace principles found inside the world's most successful corporations and instilling a top-down organizational ethos that allows their employees to thrive, from the front office to the free-throw line. With in-depth access and meticulous reporting on and off the court, acclaimed journalist Erik Malinowski recounts a gripping tale of worlds colliding, a team's reinvention, ordinary people being pushed to extraordinary heights, and the Golden State Warriors' unending quest to remain the best.

    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

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)

    Now we must face up to its primary cause: capitalism. Our economic system is based on perpetual expansion, which is devastating the living world. There is only one solution that will lead to meaningful and immediate change: degrowth.If we want to have a shot at surviving the Anthropocene, we need to restore the balance. We need to change how we see the world and our place within it, shifting from a philosophy of domination and extraction to one that’s rooted in reciprocity with our planet’s ecology. We need to evolve beyond the dusty dogmas of capitalism to a new system that’s fit for the twenty-first century.But what about jobs? What about health? What about progress? This book tackles these questions and offers an inspiring vision for what a post-capitalist economy could look like. An economy that’s more just, more caring, and more fun. An economy that enables human flourishing while reversing ecological breakdown. By taking less, we can become more.

    Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs.Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.

    Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

     Plenty of experts argue that anyone who wants to develop a skill, play an instrument, or lead their field should start early, focus intensely, and rack up as many hours of deliberate practice as possible. If you dabble or delay, you'll never catch up to the people who got a head start. But a closer look at research on the world's top performers, from professional athletes to Nobel laureates, shows that early specialization is the exception, not the rule.David Epstein examined the world's most successful athletes, artists, musicians, inventors, forecasters and scientists. He discovered that in most fields--especially those that are complex and unpredictable--generalists, not specialists, are primed to excel. Generalists often find their path late, and they juggle many interests rather than focusing on one. They're also more creative, more agile, and able to make connections their more specialized peers can't see.Provocative, rigorous, and engrossing, Range makes a compelling case for actively cultivating inefficiency. Failing a test is the best way to learn. Frequent quitters end up with the most fulfilling careers. The most impactful inventors cross domains rather than deepening their knowledge in a single area. As experts silo themselves further while computers master more of the skills once reserved for highly focused humans, people who think broadly and embrace diverse experiences and perspectives will increasingly thrive.