This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

    Not long ago, the world was awash with venture capital in search of the next Yahoo! or Amazon.com. No product, no experience, no technology, no business plan - no problem. You could still get 40 million dollars from investors to start up your dot-com. And you could get people to work around the clock for stock options and the promise of millions. Then, around April 2000, it all came crashing down. Phil Kaplan was a dot-com everyman, a programmer, with a bird's-eye view of the erupting bubble. In early 2000 he started fuckedcompany.com, a caustic and sceptical site which follows the layoffs and bankruptcies of hundreds of dot-coms. The site was an instant success. It was named site of the year by Rolling Stone, Time and Yahoo!, and received more than four million unique visitors a month. F'D COMPANIES captures the waste, greed and human stupidity of over 200 dot-com failures. Written in Kaplan's popular and cynical style, the company profiles in the book form a gleeful encyclopeadia of how not to run a business. They als

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Can this young upstart money challenge the global monetary order? Economist Saifedean Ammous traces the history of the technologies of money to seashells, limestones, cattle, salt, beads, metals, and government debt, explaining what gave these technologies their monetary role, what makes for sound money, and the benefits of a sound monetary regime to economic growth, innovation, culture, trade, individual freedom, and international peace.The monetary and historical analysis sets the stage for understanding the mechanics of the operation of Bitcoin, the reasons for its initial success, and the role it could play in an information economy. Rather than serving as a currency and network for consumer purchases, the author argues Bitcoin is better suited as a store of value and network for settlement between large financial institutions. With an automated and perfectly predictable monetary policy, and the ability to perform final settlement of large sums across the world in a matter of minutes, Bitcoin's true importance may just lie in providing a decentralized, neutral, free-market alternative to national central banks.

    Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel... Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade." “Google’s algorithms assume the world’s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it’s wrong: the future depends on human action.” — Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it’s coming to an end. In Life after Google, George Gilder—the peerless visionary of technology and culture—explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google’s astonishing ability to “search and sort” attracts the entire world to its search engine and countless other goodies—videos, maps, email, calendars….And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of “aggregate and advertise” works—for a while—if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the “cryptocosm”—the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a “great unbundling,” which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here.   For fans of "Wealth and Poverty," "Knowledge and Power," and "The Scandal of Money."

    After decades of sci-fi fantasies and hype, artificial intelligence has leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. Algorithms shape everything around us, from the news we see to the products we buy and the relationships we form. And while the debate over whether or not automation will destroy jobs rages on, a much more important question is being ignored:What does it mean to be a human in a world that is increasingly built by and for machines?In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision of how people can succeed in the machine age by making themselves irreplaceably human. He shares the secrets of people and organizations that have survived technological change, and explains how we can protect our own futures, with lessons like- Do work that is surprising, social, and scarce (the types of work machines can't do). - Demote your phone. - Work near other people. - Treat A.I. like an army of chimpanzees. - Add more friction to your life.Roose rejects the conventional wisdom that in order to compete with machines, we have to become more like them--hyper-efficient, data-driven, code-writing workhorses. Instead, he says, we should let machines be machines, and focus on doing the kinds of creative, inspiring, and meaningful things only humans can do.

    From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. "The Box" tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.Published on the fiftieth anniversary of the first container voyage, this is the first comprehensive history of the shipping container. It recounts how the drive and imagination of an iconoclastic entrepreneur, Malcom McLean, turned containerization from an impractical idea into a massive industry that slashed the cost of transporting goods around the world and made the boom in global trade possible.But the container didn't just happen. Its adoption required huge sums of money, both from private investors and from ports that aspired to be on the leading edge of a new technology. It required years of high-stakes bargaining with two of the titans of organized labor, Harry Bridges and Teddy Gleason, as well as delicate negotiations on standards that made it possible for almost any container to travel on any truck or train or ship. Ultimately, it took McLean's success in supplying U.S. forces in Vietnam to persuade the world of the container's potential.Drawing on previously neglected sources, economist Marc Levinson shows how the container transformed economic geography, devastating traditional ports such as New York and London and fueling the growth of previously obscure ones, such as Oakland. By making shipping so cheap that industry could locate factories far from its customers, the container paved the way for Asia to become the world's workshop and brought consumers a previously unimaginable variety of low-cost products from around the globe.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    Windows 10 (a free update to users of Windows 8 or Windows 7) fixes a number of the problems introduced by the revolution in Windows 8 and offers plenty of new features, such as the new Spartan web browser, Cortana voice-activated "personal assistant," new universal apps (that run on tablet, phone, and computer), and more. But to really get the most out of the new operating system, you're going to need a guide.Thankfully, Windows 10: The Missing Manual will be there to help. Like its predecessors, this book from the founder of Yahoo Tech, previous New York Times columnist, bestselling author, and Missing Manuals creator David Pogue illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity for beginners, veteran standalone PC users, new tablet owners, and those who know their way around a network.

    

    She changed the way women thought about fashion and themselves; her dresses were meant to free women of the corset and allow them to move freely and elegantly. At the dawn of a new century, Chanel stood for a new type of woman.Chanel worked her way up from living in an orphanage to dining with royalty. She personified her own designs. Always independent, she never married, took on lovers as she pleased, and never apologized. A century after Coco Chanel opened her first small shop in Paris, her designs still define luxury.Discover a plethora of topics such asAn Orphaned GirlCoco Takes on ParisChanel No. 5The Crash of 1929Chanel during World War II: The Nazi SpyExile and ReturnAnd much more!

    He convinced a crack  group of coders to join him in his quest to make a super-charged, global computer.The Infinite Machine introduces Vitalik’s ingenious idea and unfolds Ethereum’s chaotic beginnings. It then explores the brilliant innovation and reckless greed the platform—an infinitely adaptable foundation for experimentation and new applications—has unleashed and the consequences that resulted as the frenzy surrounding it grew: increased regulatory scrutiny, incipient Wall Street interest, and the founding team’s effort to get the Ethereum platform to scale so it can eventually be  accessible to the masses.Financial journalist and cryptocurrency expert Camila Russo details the wild and often hapless adventures of a team of hippy-anarchists, reluctantly led by an ambivalent visionary, and lays out how this new foundation for the internet will spur both transformation and fraud—turning some into millionaires and others into felons—and revolutionize our ideas about money.

    In this provocative and stimulating book critically acclaimed author Will Hutton warns instead that China is running up against a set of daunting challenges from within its own political and economic system that could well derail its rise, leading to a massive shock to the global economy. The United States, he argues, must recognize that it has a vital stake in working to assure this doesn't happen, for if China's political liberalization and economic growth collapse, the United States will suffer crippling consequences.In today's highly globalized world economy, so much of the economic health of the United States -- our low inflation, high profits, and cheap credit -- rests upon China's economic growth and its massive investment in the United States. A great deal has been said about the economic and military threat China poses. But rather than provoking China with the military hawkishness of recent years and resisting Chinese economic supremacy with the saber rattling of protectionist antitrade policies -- twenty such bills have been introduced in Congress in just the last year -- the United States must build a strong relationship that will foster China's transition from an antiquated Communist state beset with profound problems to a fully modern, enlightened, and open society. Doing so will require understanding and engagement, not enmity and suspicion.China's current economic model, Hutton explains, is unsustainable, premised as it is on the myriad contradictions and dysfunctions of an authoritarian state attempting to control an economy in its transition to capitalism. If the twenty-first century is to be the China century, the Chinese will have to embrace the features of modern Western nations that have spurred the political stability and economic power of the United States and Europe: the rule of law, an independent judiciary, freedom of the press, and authentic representative government that is accountable to the people. Whether or not China does so rests in large part on how well the United States manages the relationship and persuades the Chinese of the virtues of an open, enlightened democratic system. The danger is that fearmongering will intensify animosities, leading both countries down a path of peril.Turning conventional wisdom on its head, this brilliantly argued book is vital reading at a crucial juncture in world affairs.

    Rockefeller is considered to be the wealthiest man to have ever lived, after adjusting for inflation. An American businessman who made his wealth as a cofounder and leading figure of the Standard Oil Company, he also had a pivotal role in creating our modern system of philanthropy.Collected in John D. Rockefeller on Making Money are the words from the man himself, offering advice on how to successfully start and manage a booming business, as well as the most efficient ways to preserve your wealth once you have acquired it. These quotes also cover:Happiness in the face of great wealthMoney and its effectsThoughts on facing public criticismThoughts on big business in the USAIncluded are John D. Rockefeller’s thoughts on the most sage and conscientious manner of distributing and sharing your wealth when your wealth is overflowing. Finally, we get a glimpse into Rockefeller’s life with the inclusion of some of his most personal correspondence.

    Meet the Crazy Ones who created Silicon Valley – the hippies who started the Homebrew Computer Club; the young ad executive who first sketched out Apple’s iconic logo; the engineers who met lying down in a cardboard geodesic dome at Stanford University. From Steve Wozniak, who built the first breakthrough Apple computers, to Jony Ive, the young Brit who imagined the iPod - the designers and programmers, the geeks, creatives and dreamers, they are all here.And at the centre of it all, a bearded and barefoot Steve Jobs, whose singular vision would will Apple Inc. into a future that it would come to own …