Winner Take All: China's Race for Resources and What It Means for the World


Dambisa Moyo - 2012
    Almost every day, newspaper headlines and media commentators scream warnings of impending doom--shortages of arable land, clashes over water, and political conflict as global demand for fossil fuels outstrips supply. The picture is bleak, but our grasp of the details and the macro shifts in commodities markets remain blurry.Winner Take All is about the commodity dynamics that the world will face over the next several decades. In particular, it is about the implications of China's rush for resources across all regions of the world. The scale of China's resource campaign for hard commodities (metals and minerals) and soft commodities (timber and food) is among the largest in history. To be sure, China is not the first country to launch a global crusade to secure resources. From Britain's transcontinental operations dating back to the end of the 16th century, to the rise of modern European and American transnational corporations between the mid 1860's and 1870's, the industrial revolution that powered these economies created a voracious demand for raw materials and created the need to go far beyond their native countries.So too is China's resource rush today. Although still in its early stages, already the breadth of China's operation is awesome, and seemingly unstoppable. China's global charge for commodities is a story of China's quest to secure its claims on resource assets, and to guarantee the flow of inputs needed to continue to drive economic development. Moyo, an expert in global commodities markets, explains the implications of China's resource grab in a world of diminishing resources.

Showing Up for Life: Thoughts on the Gifts of a Lifetime


Bill Gates Sr. - 2009
    has learned over a lifetime of “showing up” — lessons that he learned growing up in the Great Depression, and which he instilled in his children and continues to practice on the world stage as the co-chair of the Bill & Melinda Gates Foundation.Through the course of several dozen narratives arranged in roughly chronological fashion, Gates introduces the people and experiences that influenced his thinking and guided his moral compass. Among them: the scoutmaster who taught him about teamwork and self reliance; his famous son, Trey, whose curiosity and passion for computers and software led him to ultimately co-found Microsoft. Through revealing stories of his daughters, Kristi and Libby; his late wife Mary, and his current wife Mimi; and his work with Nelson Mandela and Jimmy Carter, among others, he discusses the importance of hard work, getting along, honoring a confidence, speaking out, and much more.Showing Up for Life translates one man’s experiences over four score years of living into an inspiring road map for readers everywhere.As Bill Gates Sr. puts it:I’m 83 years old. Representing the Bill & Melinda Gates Foundation and everyone who is a part of it has given me the opportunity to see more of the world and its rich possibilities than most people ever do. I never imagined that I’d be working this late in life, or enjoying it so much.

Big Data: A Revolution That Will Transform How We Live, Work, and Think


Viktor Mayer-Schönberger - 2013
    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

What Is Mathematics?: An Elementary Approach to Ideas and Methods


Richard Courant - 1941
    Today, unfortunately, the traditional place of mathematics in education is in grave danger. The teaching and learning of mathematics has degenerated into the realm of rote memorization, the outcome of which leads to satisfactory formal ability but does not lead to real understanding or to greater intellectual independence. This new edition of Richard Courant's and Herbert Robbins's classic work seeks to address this problem. Its goal is to put the meaning back into mathematics.Written for beginners and scholars, for students and teachers, for philosophers and engineers, What is Mathematics? Second Edition is a sparkling collection of mathematical gems that offers an entertaining and accessible portrait of the mathematical world. Covering everything from natural numbers and the number system to geometrical constructions and projective geometry, from topology and calculus to matters of principle and the Continuum Hypothesis, this fascinating survey allows readers to delve into mathematics as an organic whole rather than an empty drill in problem solving. With chapters largely independent of one another and sections that lead upward from basic to more advanced discussions, readers can easily pick and choose areas of particular interest without impairing their understanding of subsequent parts.Brought up to date with a new chapter by Ian Stewart, What is Mathematics? Second Edition offers new insights into recent mathematical developments and describes proofs of the Four-Color Theorem and Fermat's Last Theorem, problems that were still open when Courant and Robbins wrote this masterpiece, but ones that have since been solved.Formal mathematics is like spelling and grammar - a matter of the correct application of local rules. Meaningful mathematics is like journalism - it tells an interesting story. But unlike some journalism, the story has to be true. The best mathematics is like literature - it brings a story to life before your eyes and involves you in it, intellectually and emotionally. What is Mathematics is like a fine piece of literature - it opens a window onto the world of mathematics for anyone interested to view.

A Beautiful Math: John Nash, Game Theory, and the Modern Quest for a Code of Nature


Tom Siegfried - 2006
    Today Nash's beautiful math has become a universal language for research in the social sciences and has infiltrated the realms of evolutionary biology, neuroscience, and even quantum physics. John Nash won the 1994 Nobel Prize in economics for pioneering research published in the 1950s on a new branch of mathematics known as game theory. At the time of Nash's early work, game theory was briefly popular among some mathematicians and Cold War analysts. But it remained obscure until the 1970s when evolutionary biologists began applying it to their work. In the 1980s economists began to embrace game theory. Since then it has found an ever expanding repertoire of applications among a wide range of scientific disciplines. Today neuroscientists peer into game players' brains, anthropologists play games with people from primitive cultures, biologists use games to explain the evolution of human language, and mathematicians exploit games to better understand social networks. A common thread connecting much of this research is its relevance to the ancient quest for a science of human social behavior, or a Code of Nature, in the spirit of the fictional science of psychohistory described in the famous Foundation novels by the late Isaac Asimov. In A Beautiful Math, acclaimed science writer Tom Siegfried describes how game theory links the life sciences, social sciences, and physical sciences in a way that may bring Asimov's dream closer to reality.

Psycho-Cybernetics and Self-Fulfillment


Maxwell Maltz - 1970
    So are failure and misery. But negative habits can be changed--and Psycho-Cybernetics shows you how!This is your personal audio guide to the amazing power of Psycho-Cybernetics--a program based on one of the world’s classic self-help books, a multimillion-copy bestseller proven effective by readers worldwide. Presenting positive attitude as a means for change, Maltz’s teaching has the ring of common sense. Psycho-Cybernetics is the original text that defined the mind/body connection—the concept that paved the way for most of today’s personal empowerment programs. Turn crises into creative opportunities, dehypnotize yourself from false beliefs, and celebrate new freedom from fear and guilt.Testimonials and stories are interspersed with advice from Maltz, as well as techniques for relaxation and visualization. Dr. Maxwell Maltz teaches you his techniques of “emotional surgery”--the path to a dynamic new self-image and self-esteem and to achieving the success and happiness you deserve!

Statistics Without Tears: An Introduction for Non-Mathematicians


Derek Rowntree - 1981
    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

Data Smart: Using Data Science to Transform Information into Insight


John W. Foreman - 2013
    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

Algebra - The Very Basics


Metin Bektas - 2014
    This book picks you up at the very beginning and guides you through the foundations of algebra using lots of examples and no-nonsense explanations. Each chapter contains well-chosen exercises as well as all the solutions. No prior knowledge is required. Topics include: Exponents, Brackets, Linear Equations and Quadratic Equations. For a more detailed table of contents, use the "Look Inside" feature. From the author of "Great Formulas Explained" and "Physics! In Quantities and Examples".

The Moral Consequences of Economic Growth


Benjamin M. Friedman - 2005
    Friedman examines the political and social histories of the large Western democracies–particularly of the United States since the Civil War–to demonstrate the fact that incomes on the rise lead to more open and democratic societies. He explains that growth, rather than simply a high standard of living, is key to effecting political and social liberalization in the third world, and shows that even the wealthiest of nations puts its democratic values at risk when income levels stand still. Merely being rich is no protection against a turn toward rigidity and intolerance when a country’s citizens lose the sense that they are getting ahead.With concrete policy suggestions for pursuing growth at home and promoting worldwide economic expansion, this volume is a major contribution to the ongoing debate about the effects of economic growth and globalization.

Capital: The Story of Long-Term Investment Excellence


Charles D. Ellis - 2004
    The Capital Group is one of the world's largest investment management organizations, but little is known about it because the company has shunned any type of publicity. This compelling book, for the first time, takes you inside one of the most elite and private investment firms out there?the Capital Group Companies?a value investment firm par excellence. It digs deeps to reveal the corporate culture and long-term investment strategies that have made Capital the one organization where most investment professionals would like to work and would most recommend as long-term investment managers for their family and friends.

The Visual Display of Quantitative Information


Edward R. Tufte - 1983
    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

A Short Account of the History of Mathematics


W.W. Rouse Ball - 1900
    From the early Greek influences to the Middle Ages and the Renaissance to the end of the 19th century, trace the fascinating foundation of mathematics as it developed through the ages. Aristotle, Galileo, Kepler, Newton: you know the names. Now here's what they really did, and the effect their discoveries had on our culture, all explained in a way the layperson can understand. Begin with the basis of arithmetic (Plato and the introduction of geometry), and discover why the use of Arabic numerals was critical to the development of both commerce and science. The development of calculus made space travel a reality, while the abacus prefigured the computer. The greats examined in depth include Leonardo da Vinci, a brilliant mathematician as well as artist; Pascal, who laid out the theory of probabilities; and Fermat, whose intriguing theory has only recently been solved.

Is Reality Optional?: And Other Essays


Thomas Sowell - 1993
    Sowell challenges all the assumptions of contemporary liberalism on issues ranging from the economy to race to education in this collection of controversial essays, and captures his thoughts on politics, race, and common sense with a section at the end for thought-provoking quotes.

The Seven Pillars of Statistical Wisdom


Stephen M. Stigler - 2016
    It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler s second pillar, information measurement, challenges the importance of big data by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily.The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician."