T. Barnum, who is widely known as an important historical entrepreneur as founder of the famous traveling circus, but in this publication Barnum shares his knowledge of business and teaches readers how to be successful in making money. This is an excellent book for individuals who are interested in learning from an important historical business leaders own personal success and also serves as an excellent motivational writing intended for those looking to be successful and make lots of money.

    But what is it physically? And where is it really? Our mental map of the network is as blank as the map of the ocean that Columbus carried on his first Atlantic voyage. The Internet, its material nuts and bolts, is an unexplored territory. Until now.In Tubes, journalist Andrew Blum goes inside the Internet's physical infrastructure and flips on the lights, revealing an utterly fresh look at the online world we think we know. It is a shockingly tactile realm of unmarked compounds, populated by a special caste of engineer who pieces together our networks by hand; where glass fibers pulse with light and creaky telegraph buildings, tortuously rewired, become communication hubs once again. From the room in Los Angeles where the Internet first flickered to life to the caverns beneath Manhattan where new fiber-optic cable is buried; from the coast of Portugal, where a ten-thousand-mile undersea cable just two thumbs wide connects Europe and Africa, to the wilds of the Pacific Northwest, where Google, Microsoft, and Facebook have built monumental data centers—Blum chronicles the dramatic story of the Internet's development, explains how it all works, and takes the first-ever in-depth look inside its hidden monuments.This is a book about real places on the map: their sounds and smells, their storied pasts, their physical details, and the people who live there. For all the talk of the "placelessness" of our digital age, the Internet is as fixed in real, physical spaces as the railroad or telephone. You can map it and touch it, and you can visit it. Is the Internet in fact "a series of tubes" as Ted Stevens, the late senator from Alaska, once famously described it? How can we know the Internet's possibilities if we don't know its parts?Like Tracy Kidder's classic The Soul of a New Machine or Tom Vanderbilt's recent bestseller Traffic, Tubes combines on-the-ground reporting and lucid explanation into an engaging, mind-bending narrative to help us understand the physical world that underlies our digital lives.

    Innovations rarely come from "experts." Elon Musk was not an "electric car person" before he started Tesla. When it comes to improbable innovations, which are the only innovations that really matter, a legendary tech VC told Sebastian Mallaby, the future can't be predicted, it can only be discovered, through iterative venture-backed experiments. It is the nature of the game that most of these experiments will fail, but a very few successes will succeed at such a scale that they will more than make up for everything else. That extreme ratio of success and failure is the power law that drives the VC sector, and all of Silicon Valley, and the wider tech sector shaped in its image. The implications of that power law echo around the world.In The Power Law, Sebastian Mallaby has parlayed unprecedented access to the most successful venture capitalists of all time - the key figures at Sequoia, Kleiner Perkins, Accel, Benchmark, and Andreessen Horowitz, among others--into a riveting blend of storytelling and analysis that unfurls the whole history of incubating tech companies, in the Valley and ultimately all over the world​. We learn the unvarnished truth, often for the first time, about some of the most iconic successes and infamous disasters in Valley history​, from the comedy of errors that was the birth of Apple to the avalanche of venture money that fostered hubris at WeWork and Uber. We're taken inside the different strategic models of the storied ​venture firms, their virtues and drawbacks​. We see the impact of culture, within VC​ partnerships and the companies they nurture--the importance of consciously tending it, and the disasters that ensue when power is concentrated in the wrong hands.​VCs' relentless search for power-law ​grand slams brews an obsession with the ideal of the lone entrepreneur-genius, and companies seen as potential unicorns are given intoxicating amounts of power, with sometimes disastrous ​results. On a deeper, more systemic level, the need to make outsized bets on unproven talent ​reinforces bias that ​channels money and support to, e.g., a certain kind of white guy from Stanford, with women and minorities still represented, within VCs themselves and the companies they support, at woefully low levels. This doesn't just have social justice implications: China's homegrown VC sector, having learned at the Valley's feet, is exploding, and in short order now has far more women VC heads than America has ever had. Still and all, Silicon Valley VC remains the most successful and influential incubator of business innovation in the world: it is not where ideas come from so much as where they go, to become the products and companies that create the future. Of all the people in the world gambling on the future, this group has made, not just a science of it, but many competing sciences, and The Power Law, by taking us so deeply inside their game, give us the be​nefit of thinking more keenly about our own future through their eyes.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Carlota Perez draws upon Schumpeter's theories of the clustering of innovations to explain why each technological revolution gives rise to a paradigm shift and a "New Economy" and how these "opportunity explosions", focused on specific industries, also lead to the recurrence of financial bubbles and crises. These findings are illustrated with examples from the past two centuries: the industrial revolution, the age of steam and railways, the age of steel and electricity, the emergence of mass production and automobiles, and the current information revolution/knowledge society. By analyzing the changing relationship between finance capital and production capital during the emergence, diffusion and assimilation of new technologies throughout the global economic system, this book sheds light on some of the most pressing economic problems of today.

    A. Hayek, came to challenge all previous trade-cycle theories.Ludwig von Mises (1881–1973) was the leading spokesman of the Austrian School of economics throughout most of the twentieth century.Please note: This title is available as an ebook for purchase on Amazon, Barnes and Noble, and iTunes.

    Financialization over the past three decades has created a structure that lacks resilience and supports absurd volumes of trading. The finance sector devotes too little attention to the search for new investment opportunities and the stewardship of existing ones, and far too much to secondary-market dealing in existing assets. Regulation has contributed more to the problems than the solutions.Why? What is finance for? John Kay, with wide practical and academic experience in the world of finance, understands the operation of the financial sector better than most. He believes in good banks and effective asset managers, but good banks and effective asset managers are not what he sees.In a dazzling and revelatory tour of the financial world as it has emerged from the wreckage of the 2008 crisis, Kay does not flinch in his criticism: we do need some of the things that Citigroup and Goldman Sachs do, but we do not need Citigroup and Goldman to do them. And many of the things done by Citigroup and Goldman do not need to be done at all. The finance sector needs to be reminded of its primary purpose: to manage other people's money for the benefit of businesses and households. It is an aberration when the some of the finest mathematical and scientific minds are tasked with devising algorithms for the sole purpose of exploiting the weakness of other algorithms for computerized trading in securities. To travel further down that road leads to ruin.

    Today, the utopia they sought to create is looking more dystopian than ever: from digital surveillance and the loss of privacy to the spreading of misinformation and hate speech to predatory algorithms targeting the weak and vulnerable to products that have been engineered to manipulate our desires. How did we get here? How did these once-scrappy and idealistic enterprises become rapacious monopolies with the power to corrupt our elections, co-opt all our data, and control the largest single chunk of corporate wealth—while evading all semblance of regulation and taxes?  In Don’t Be Evil, Financial Times global business columnist Rana Foroohar tells the story of how Big Tech lost its soul—and ate our lunch. Through her skilled reporting and unparalleled access—won through nearly thirty years covering business and technology—she shows the true extent to which behemoths like Google, Facebook, Apple, and Amazon are monetizing both our data and our attention, without us seeing a penny of those exorbitant profits. Finally, Foroohar lays out a plan for how we can resist, by creating a framework that fosters innovation while also protecting us from the dark side of digital technology.Praise for Don’t Be Evil “At first sight, Don’t Be Evil looks like it’s doing for Google what muckraking journalist Ida Tarbell did for Standard Oil over a century ago. But this whip-smart, highly readable book’s scope turns out to be much broader. Worried about the monopolistic tendencies of big tech? The addictive apps on your iPhone? The role Facebook played in Donald Trump’s election? Foroohar will leave you even more worried, but a lot better informed.”—Niall Ferguson, Milbank Family Senior Fellow at the Hoover Institution, Stanford, and author of The Square and the Tower

    Yet supporters of Bitcoin and its blockchain technology subscribe to a form of cyberlibertarianism that depends to a surprising extent on far-right political thought. The Politics of Bitcoin exposes how much of the economic and political thought on which this cryptocurrency is based emerges from ideas that travel the gamut, from Milton Friedman, F.A. Hayek, and Ludwig von Mises to Federal Reserve conspiracy theorists.Forerunners: Ideas First is a thought-in-process series of breakthrough digital publications. Written between fresh ideas and finished books, Forerunners draws on scholarly work initiated in notable blogs, social media, conference plenaries, journal articles, and the synergy of academic exchange. This is gray literature publishing: where intense thinking, change, and speculation take place in scholarship.

    Sandel takes up one of the biggest ethical questions of our time: Isn't there something wrong with a world in which everything is for sale? If so, how can we prevent market values from reaching into spheres of life where they don't belong? What are the moral limits of markets?In recent decades, market values have crowded out nonmarket norms in almost every aspect of life. Without quite realizing it, Sandel argues, we have drifted from having a market economy to being a market society.In Justice, an international bestseller, Sandel showed himself to be a master at illuminating, with clarity and verve, the hard moral questions we confront in our everyday lives. Now, in What Money Can't Buy, he provokes a debate that's been missing in our market-driven age: What is the proper role of markets in a democratic society, and how can we protect the moral and civic goods that markets do not honor and money cannot buy?

    . . the noblest and the most infamous in the world, the finest and most vulgar on earth.” The characterization of finance as deceitful, infamous, and vulgar still rings true today – particularly in the wake of the 2008 financial crisis. But, what happened to the fairest, noblest, and finest profession that de la Vega saw?  De la Vega hit on an essential truth that has been forgotten: finance can be just as principled, life-affirming, and worthy as it can be fraught with questionable practices.  Today, finance is shrouded in mystery for outsiders, while many insiders are uneasy with the disrepute of their profession.  How can finance become more accessible and also recover its nobility? Harvard Business School professor Mihir Desai, in his “last lecture” to the graduating Harvard MBA class of 2015, took up the cause of restoring humanity to finance. With incisive wit and irony, his lecture drew upon a rich knowledge of literature, film, history, and philosophy to explain the inner workings of finance in a manner that has never been seen before. This book captures Desai’s lucid exploration of the ideas of finance as seen through the unusual prism of the humanities. Through this novel, creative approach, Desai shows that outsiders can access the underlying ideas easily and insiders can reacquaint themselves with the core humanity of their profession. The mix of finance and the humanities creates unusual pairings: Jane Austen and Anthony Trollope are guides to risk management; Jeff Koons becomes an advocate of leverage; and Mel Brooks’s The Producers teaches us about fiduciary responsibility. In Desai’s vision, the principles of finance also provide answers to critical questions in our lives. Among many surprising parallels, bankruptcy teaches us how to react to failure, the lessons of mergers apply to marriages, and the Capital Asset Pricing Model demonstrates the true value of relationships. THE WISDOM OF FINANCE is a wholly unique book, offering a refreshing new perspective on one of the world’s most complex and misunderstood professions.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    Johnson tell the definitive story of what has changed, what it means for businesses today, and how managers, entrepreneurs, and business owners can adapt and thrive in this new era.What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town, creating vast fortunes for its founders while dominating everyone's daily life. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather that making things, they simply connect people.The Internet today is awash in platforms - Facebook is responsible for nearly 25 percent of total Web visits, and the Google platform crash in 2013 took about 40 percent of Internet traffic with it. Representing the ten most trafficked sites in the U.S., platforms are also prominent over the globe; in China, they hold the top eight spots in web traffic rankings.The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other, melding the digital and physical worlds and blurring distinctions between "offline" and "online." These platform giants are expanding their influence from the digital world to the whole economy. Yet, few people truly grasp the radical structural shifts of the last ten years.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.