Later, as you're about to get back to work, a colleague taps you on the shoulder to chat. At home, screens get in the way of quality time with your family. Another day goes by, and once again, your most important personal and professional goals are put on hold.  What would be possible if you followed through on your best intentions? What could you accomplish if you could stay focused and overcome distractions? What if you had the power to become "indistractable"?  International best-selling author, former Stanford lecturer, and behavioral design expert, Nir Eyal, wrote Silicon Valley's handbook for making technology habit-forming. Five years after publishing Hooked, Eyal reveals distraction's Achilles' heel in his groundbreaking new book.  In Indistractable, Eyal reveals the hidden psychology driving us to distraction. He describes why solving the problem is not as simple as swearing off our devices: Abstinence is impractical and often makes us want more.  Eyal lays bare the secret of finally doing what you say you will do with a four-step, research-backed model. Indistractable reveals the key to getting the best out of technology, without letting it get the best of us.  Inside, Eyal overturns conventional wisdom and reveals: Why distraction at work is a symptom of a dysfunctional company culture - and how to fix it  What really drives human behavior and why "time management is pain management"  Why your relationships (and your sex life) depend on you becoming indistractable  How to raise indistractable children in an increasingly distracting world Empowering and optimistic, Indistractable provides practical, novel techniques to control your time and attention - helping you live the life you really want.

    Banks, telecommunications companies, and critical government networks (including the British Parliament and the French and German military) were infected. No one had ever seen anything like it. By January 2009 the worm lay hidden in at least eight million computers and the botnet of linked computers that it had created was big enough that an attack might crash the world. This is the gripping tale of the group of hackers, researches, millionaire Internet entrepreneurs, and computer security experts who united to defend the Internet from the Conficker worm: the story of the first digital world war.

    Nation-states wielded military force, financial pressure, and diplomatic persuasion to create “world order.” Even after the end of the Cold War, the elements comprising world order remained essentially unchanged.But 2012 marked a transformation in geopolitics and the tactics of both the established powers and smaller entities looking to challenge the international community. That year, the US government revealed its involvement in Operation “Olympic Games,” a mission aimed at disrupting the Iranian nuclear program through cyberattacks; Russia and China conducted massive cyber-espionage operations; and the world split over the governance of the Internet. Cyberspace became a battlefield.Cyber conflict is hard to track, often delivered by proxies, and has outcomes that are hard to gauge. It demands that the rules of engagement be completely reworked and all the old niceties of diplomacy be recast. Many of the critical resources of statecraft are now in the hands of the private sector, giant technology companies in particular. In this new world order, cybersecurity expert Adam Segal reveals, power has been well and truly hacked.

    Digital technologies—with hardware, software, and networks at their core—will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.Amid this bounty will also be wrenching change. Professions of all kinds—from lawyers to truck drivers—will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.

    Christensen). We've combed through hundreds of Harvard Business Review articles to select the most important ones to help you maximize yourself.HBR's 10 Must Reads on Managing Yourself will inspire you to:Stay engaged throughout your 50+-year work lifeTap into your deepest valuesSolicit candid feedbackReplenish physical and mental energyBalance work, home, community, and selfSpread positive energy throughout your organizationRebound from tough timesDecrease distractibility and frenzyDelegate and develop employees' initiativeThis collection of best-selling articles includes: bonus article “How Will You Measure Your Life?” by Clayton M. Christensen, "Managing Oneself," "Management Time: Who's Got the Monkey?" "How Resilience Works," "Manage Your Energy, Not Your Time," "Overloaded Circuits: Why Smart People Underperform," "Be a Better Leader, Have a Richer Life," "Reclaim Your Job," "Moments of Greatness: Entering the Fundamental State of Leadership," "What to Ask the Person in the Mirror," and "Primal Leadership: The Hidden Driver of Great Performance."

      In the past few years, a handful of scientists have been in a race to explain a disturbing aspect of our universe: only 4 percent of it consists of the matter that makes up you, me, our books, and every planet, star, and galaxy. The rest—96 percent of the universe—is completely unknown.   Richard Panek tells the dramatic story of how scientists reached this conclusion, and what they’re doing to find this "dark" matter and an even more bizarre substance called dark energy. Based on in-depth, on-site reporting and hundreds of interviews—with everyone from Berkeley’s feisty Saul Perlmutter and Johns Hopkins’s meticulous Adam Riess to the quietly revolutionary Vera Rubin—the book offers an intimate portrait of the bitter rivalries and fruitful collaborations, the eureka moments and blind alleys, that have fueled their search, redefined science, and reinvented the universe.

    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

    Infrastructure engineers use a software version of this “chaos monkey” to test online services’ robustness—their ability to survive random failure and correct mistakes before they actually occur. Tech entrepreneurs are society’s chaos monkeys, disruptors testing and transforming every aspect of our lives, from transportation (Uber) and lodging (AirBnB) to television (Netflix) and dating (Tinder). One of Silicon Valley’s most audacious chaos monkeys is Antonio García Martínez.After stints on Wall Street and as CEO of his own startup, García Martínez joined Facebook’s nascent advertising team, turning its users’ data into profit for COO Sheryl Sandberg and chairman and CEO Mark “Zuck” Zuckerberg. Forced out in the wake of an internal product war over the future of the company’s monetization strategy, García Martínez eventually landed at rival Twitter. He also fathered two children with a woman he barely knew, committed lewd acts and brewed illegal beer on the Facebook campus (accidentally flooding Zuckerberg's desk), lived on a sailboat, raced sport cars on the 101, and enthusiastically pursued the life of an overpaid Silicon Valley wastrel.Now, this gleeful contrarian unravels the chaotic evolution of social media and online marketing and reveals how it is invading our lives and shaping our future. Weighing in on everything from startups and credit derivatives to Big Brother and data tracking, social media monetization and digital “privacy,” García Martínez shares his scathing observations and outrageous antics, taking us on a humorous, subversive tour of the fascinatingly insular tech industry. Chaos Monkeys lays bare the hijinks, trade secrets, and power plays of the visionaries, grunts, sociopaths, opportunists, accidental tourists, and money cowboys who are revolutionizing our world. The question is, will we survive?

    He explores the history of places, like Vienna of 1900, Renaissance Florence, ancient Athens, Song Dynasty Hangzhou, and Silicon Valley, to show how certain urban settings are conducive to ingenuity. And, with his trademark insightful humor, he walks the same paths as the geniuses who flourished in these settings to see if the spirit of what inspired figures like Socrates, Michelangelo, and Leonardo remains. In these places, Weiner asks, “What was in the air, and can we bottle it?”

    It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.

    Everywhere we turn, someone is preaching the “One True Way” to eat for maximum health. Paleo Diet advocates tell us that all foods less than 12,000 years old are the enemy. Low-carb gurus demonize carbs, then there are the low-fat prophets. But they agree on one thing: there is only one true way to eat for maximum health. The first clue that that is a fallacy is the sheer variety of diets advocated. Indeed, while all of these competing views claim to be backed by “science,” a good look at actual nutritional science itself suggests that it is impossible to identify a single best way to eat. Fitzgerald advocates an agnostic, rational approach to eating habits, based on one’s own habits, lifestyle, and genetics/body type. Many professional athletes already practice this “Good Enough” diet, and now we can too and ditch the brainwashing of these diet cults for good.

    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

    But for thousands of years, people have done things like this—and things that make radioactive underpants seem downright sensible! In their hit podcast, Sawbones, Sydnee and Justin McElroy breakdown the weird and wonderful way we got to modern healthcare. And some of the terrifying detours along the way.Every week, Dr. Sydnee McElroy and her husband Justin amaze, amuse, and gross out (depending on the week) hundreds of thousands of avid listeners to their podcast, Sawbones. Consistently rated a top podcast on iTunes, with over 15 million total downloads, this rollicking journey through thousands of years of medical mishaps and miracles is not only hilarious but downright educational. While you may never even consider applying  boiled weasel to your forehead (once the height of sophistication when it came to headache cures), you will almost certainly face some questionable medical advice in your everyday life (we’re looking at you, raw water!) and be better able to figure out if this is a miracle cure (it’s not) or a scam. Table of Contents:Part One: The Unnerving The Resurrection Men Fun w Galvanism Weird Weight Loss Miracle Cure: Opium Black Plague Heroes of Misguided Medicine: Pliny the Elder Erectile Dysfunction The Doctor Is In: Listener Questions Answered Don’t Drill a Hole in Your HeadPart Two: The Gross Mummy Medicine The Guthole Bromance The Unkillable Phineas Gage Max Drank Poopy Water Heroes of Misguided Medicine: Robert Liston Golden Showers of Health Miracle Cure-All: Radium Dr. John Romulus Brinkley The Doctor Is In Q&A Just (Four) Humour Me The Camel Dung MiraclePart Three: The Weird The Dancing Plague Bad Medicine: Tobacco for Health The Seasick-Proof Saloon Miracle Cure-All: Vinegar The Doctor Is In Q&A Heroes of Misguided MedicinePart Four: The Awesome The Poison Squad Bad Medicine: Self Experimentation Eat Your Chocolate! Heroes of Misguided Medicine Parrot Fever Miracle Cure-All: Honey The Miraculous Polio Vaccine The Doctor Is In

    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.

    Exploring the history of cannibalism, the neurology of people who are sexually attracted to animals, the evolution of human body fluids, the science of homosexuality, and serious questions about life and death, Bering astutely covers a generous expanse of our kaleidoscope of quirks and origins.With his characteristic irreverence and trademark cheekiness, Bering leaves no topic unturned or curiosity unexamined, and he does it all with an audaciously original voice. Whether you're interested in the psychological history behind the many facets of sexual desire or the evolutionary patterns that have dictated our current mystique and phallic physique, Why Is the Penis Shaped Like That? is bound to create lively discussion and debate for years to come.