In the span of five minutes, a trillion dollars of valuation was lost. The Flash Crash, as it became known, represented the fastest drop in market history. When share values rebounded less than half an hour later, experts around the globe were left perplexed. What had they just witnessed?Navinder Singh Sarao hardly seemed like a man who would shake the world's financial markets to their core. Raised in a working-class neighborhood in West London, Nav was a preternaturally gifted trader who played the markets like a computer game. By the age of thirty, he had left behind London's "trading arcades," working instead out of his childhood home. For years the money poured in. But when lightning-fast electronic traders infiltrated markets and started eating into his profits, Nav built a system of his own to fight back. It worked--until 2015, when the FBI arrived at his door. Depending on whom you ask, Sarao was a scourge, a symbol of a financial system run horribly amok, or a folk hero who took on the tyranny of Wall Street and the high-frequency traders.A real-life financial thriller, Flash Crash uncovers the remarkable, behind-the-scenes narrative of a mystifying market crash, a globe-spanning investigation into international fraud, and the man at the center of them both.

    He had mentored many tech leaders in his illustrious career as an investor, but few things had made him prouder, or been better for his fund's bottom line, than his early service to Mark Zuckerberg. Still a large shareholder in Facebook, he had every good reason to stay on the bright side. Until he simply couldn't. ZUCKED is McNamee's intimate reckoning with the catastrophic failure of the head of one of the world's most powerful companies to face up to the damage he is doing. It's a story that begins with a series of rude awakenings. First there is the author's dawning realization that the platform is being manipulated by some very bad actors. Then there is the even more unsettling realization that Zuckerberg and Sheryl Sandberg are unable or unwilling to share his concerns, polite as they may be to his face."

    Presenting the concept of the "New Jim Code," she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life.This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.If you adopt this book for classroom use in the 2019-2020 academic year, the author would be pleased to arrange to Skype to a session of your class. If interested, enter your details in this sign-up sheet https: //buff.ly/2wJsvZr

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    We need a brand new way to take it all in. 'Information is Beautiful' transforms the ideas surrounding and swamping us into graphs and maps that anyone can follow at a single glance.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    In his most important work, The General Theory of Employment, Interest, and Money (1936), Keynes critiqued the laissez-faire policies of his day, particularly the proposition that a normally functioning market economy would bring full employment. Keynes's forward-looking work transformed economics from merely a descriptive and analytic discipline into one that is policy oriented. For Keynes, enlightened government intervention in a nation's economic life was essential to curbing what he saw as the inherent inequalities and instabilities of unregulated capitalism.

    And it was an astronomer who finally explained what happened to the dinosaurs.Frans Johansson's The Medici Effect shows how breakthrough ideas most often occur when we bring concepts from one field into a new, unfamiliar territory, and offers examples how we can turn the ideas we discover into path-breaking innovations.

    Adam Neumann, an immigrant determined to make his fortune in the United States, landed on the idea of repurposing surplus New York office space for the burgeoning freelance class. Over the course of ten years, WeWork attracted billions of dollars from some of the most sought-after investors in the world, while spending it to build a global real estate empire that he insisted was much more than that: an organization that aspired to nothing less than "elevating the world's consciousness."Moving between New York real estate, Silicon Valley venture capital, and the very specific force field of spirituality and ambition erected by Adam Neumann himself, Billion Dollar Loser lays bare the internal drama inside WeWork. Based on more than two hundred interviews, this book chronicles the breakneck speed at which WeWork’s CEO built and grew his company along with Neumann’s relationship to a world of investors, including Masayoshi Son of Softbank, who fueled its chaotic expansion into everything from apartment buildings to elementary schools.Culminating in a day-by-day account of the five weeks leading up to WeWork’s botched IPO and Neumann’s dramatic ouster, Wiedeman exposes the story of the company’s desperate attempt to secure the funding it needed in the final moments of a decade defined by excess. Billion Dollar Loser is the first book to indelibly capture the highly leveraged, all-blue-sky world of American business in President Trump’s first term, and also offers a sober reckoning with its fallout as a new era begins.

    But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and considering less information. In Risk Savvy, Gigerenzer reveals that most of us, including doctors, lawyers, financial advisers, and elected officials, misunderstand statistics much more often than we think, leaving us not only misinformed, but vulnerable to exploitation. Yet there is hope. Anyone can learn to make better decisions for their health, finances, family, and business without needing to consult an expert or a super computer, and Gigerenzer shows us how.Risk Savvy is an insightful and easy-to-understand remedy to our collective information overload and an essential guide to making smart, confident decisions in the face of uncertainty.

    Sachs has been at the forefront of international problem solving. But Sachs turns his attention back home in 'The Price of Civilization,' a book that is essential reading for every American. In a forceful, impassioned, and personal voice, he offers not only a searing and incisive diagnosis of our country's economic ills but also an urgent call for Americans to restore the virtue of fairness, honesty, and foresight as the foundations of national prosperity." Inside book cover comments.