After all, a substantial number of decisions that we make in our everyday lives are quietly rooted in this one question: If something happened before, will it happen again? Is there such a thing as being in the zone? Can someone have a “hot hand”? Or is it simply a case of seeing patterns in randomness? Or, if streaks are possible, where can they be found?In The Hot Hand, Wall Street Journal reporter Ben Cohen offers an unfailingly entertaining and provocative investigation into these questions. He begins with how a $35,000 fine and a wild night in New York revived a debate about the existence of streaks that was several generations in the making. We learn how the ability to recognize and then bet against streaks turned a business school dropout named David Booth into a billionaire, and how the subconscious nature of streak-related bias can make the difference between life and death for asylum seekers. We see how previously unrecognized streaks hidden amidst archival data helped solve one of the most haunting mysteries of the twentieth century, the disappearance of Raoul Wallenberg. Cohen also exposes how streak-related incentives can be manipulated, from the five-syllable word that helped break arcade profit records to an arc of black paint that allowed Stephen Curry to transform from future junior high coach into the greatest three-point shooter in NBA history. Crucially, Cohen also explores why false recognition of nonexistent streaks can have cataclysmic results, particularly if you are a sugar beet farmer or the sort of gambler who likes to switch to black on the ninth spin of the roulette wheel.A brilliant investigation into when streaks exist and how they can be taken advantage of, The Hot Hand is essential reading for anyone who thinks they’ve got a shot.

    In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us. In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn't have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it. Big Data is here to stay. Now is the time to find out how we can be empowered by it.

    His invention of the first practical incandescent lamp 140 years ago so dazzled the world--already reeling from his invention of the phonograph and dozens of other revolutionary devices--that it cast a shadow over his later achievements. In all, this near-deaf genius ("I haven't heard a bird sing since I was twelve years old") patented 1,093 inventions, not including others, such as the X-ray fluoroscope, that he left unlicensed for the benefit of medicine.One of the achievements of this staggering new biography, the first major life of Edison in more than twenty years, is that it portrays the unknown Edison--the philosopher, the futurist, the chemist, the botanist, the wartime defense adviser, the founder of nearly 250 companies--as fully as it deconstructs the Edison of mythological memory. Edmund Morris, winner of the Pulitzer Prize and the National Book Award, brings to the task all the interpretive acuity and literary elegance that distinguished his previous biographies of Theodore Roosevelt, Ronald Reagan, and Ludwig van Beethoven. A trained musician, Morris is especially well equipped to recount Edison's fifty-year obsession with recording technology and his pioneering advances in the synchronization of movies and sound. Morris sweeps aside conspiratorial theories positing an enmity between Edison and Nikola Tesla and presents proof of their mutually admiring, if wary, relationship.Enlightened by seven years of research among the five million pages of original documents preserved in Edison's huge laboratory at West Orange, New Jersey, and privileged access to family papers still held in trust, Morris is also able to bring his subject to life on the page--the adored yet autocratic and often neglectful husband of two wives and father of six children. If the great man who emerges from it is less a sentimental hero than an overwhelming force of nature, driven onward by compulsive creativity, then Edison is at last getting his biographical due.

    Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus.

    Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

    This book claimed that through a piece of software called a "browser," which accesses "web sites," the world economy and our daily lives would change forever. Would you have believed even 10 percent of that book? Did you take advantage of the first Internet wave and get ahead of the curve? "Pull" is the blueprint to the next disruptive wave. Some call it Web 3.0; others call it the semantic web. It's a fundamental transition from pushing information to pulling, using a new way of thinking and collaborating online. Using the principles of this book, you will slash 5-20 percent off your bottom line, make your customers happier, accelerate your industry, and prepare your company for the twenty-first century. It isn't going to be easy, and you don't have any choice. By 2015, your company will be more agile and your processes more flexible than you ever thought possible. The semantic web leads to possibilities straight from science fiction, such as buildings that can order their own supplies, eliminating the IRS, and lawyers finally making sense. But it also leads to major changes in every field, from shipping and retail distribution to health care and financial reporting. Through clear examples, case studies, principles, and scenarios, business strategist David Siegel takes you on a tour of this new world. You'll learn: -Which industries are already ahead. -Which industries are already dead. -How to make the power shift from pushing to pulling information. -How software, hardware, media, and marketing will all change. -How to plan your own strategy for embracing the semantic web. We are at the beginning of a new technology curve that will affect all areas of business. Right now, you have a choice. You can decide to start preparing for the exciting opportunities that lay ahead or you can leave this book on the shelf and get left in the dust like last time.

    And, the Director of Google Ideas, Jared Cohen, formerly an advisor to both Secretaries of State Condoleezza Rice and Hillary Clinton.Never before has the future been so vividly and transparently imagined. From technologies that will change lives (information systems that greatly increase productivity, safety and our quality of life, thought controlled motion technology that can revolutionize medical procedures, and near-perfect translation technology that allows us to have more diversified interactions) to our most important future considerations (curating our online identity and fighting those who would do harm with it) to the widespread political change that will transform the globe (through transformations in conflict, increasingly active and global citizenries, a new wave of cyber-terrorism and states operating simultaneously in the physical and virtual realms) to the ever present threats to our privacy and security, Schmidt and Cohen outline in great detail and scope all the promise and peril awaiting us in the coming decades.

    But how will these be affected once we delegate much of the responsibility for them to technology? The temptation of the digital age is to fix everything—from crime to corruption to pollution to obesity—by digitally quantifying, tracking, or gamifiying behavior. But when we change the motivations for our moral, ethical, and civic behavior, we may also change the very nature of that behavior itself. Technology, Evgeny Morozov proposes, can be a force for improvement—but only if we abandon the idea that it is necessarily revolutionary and instead genuinely interrogate what we are doing with it and what it is doing to us.From urging us to abandon monolithic ideas of “the Internet” to showing how to design more humane and democratic technological solutions, To Save Everything, Click Here is a dazzling tour of our technological future, and a searching investigation into the digital version of an enduring struggle: between man and his machines.

    In Red Thread Thinking, Kaye shows you how to weave originality from disparate information and turn it into a product or service that can shake up the marketplace--and your business.What sets Red Thread Thinking apart from other books is that it reveals exactly how to identify and understand hidden cultural codes and shifts in consumer perceptions that speak to emerging and existing markets and, as a result, catapult fresh products to iconic status.A mold-breaking system, Red Thread Thinking sharpens your innovation skills and can assist in problem solving, whether preparing a talk, pitching a project to your colleagues and boss, managing staff in a more productive way, or taking business to a new level. Learn the ways of Red Thread Thinking:Red Thread One: "Innovation--It's All in Your Head"--We can fire up our brains to become better at observing and interpreting what we see around usRed Thread Two: "Everything Old is New"--Take a fresh look at the past to gain remarkable advantageRed Thread Three: "People: The Strangest Animals in the Zoo"--Know what makes your market tick, and you'll know what makes them spendRed Thread Four: "What You See Is What You Get"--Learn how to create an entirely new and accessible "language" to make your product stand out and be universally understoodRed Thread Five: "The Force of Passion"--Persevere, review, and refine your ideas without compromising your integrity or core beliefs.Red Thread Thinking teaches you to activate your own knowledge and resources to make better connections, have more and superior insights, and apply history as a valuable source for future-leaning innovation--without the need for high-cost development.

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It’s time we change that.In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other side of the screen better prepared to make informed choices about the services we use—and to demand more from the companies behind them.

    As Ryan puts it, team chemistry, or the combination of biological and social forces that boosts selfless effort among more players over more days of a season, is what drives sports teams toward a common goal, encouraging the players to be the best versions of themselves. These are the elements of teams that make them "click," the ones that foster trust and respect, and push players to exceed their own potential when they work well together.Team chemistry alone won't win a World Series, but talent alone won't win it, either. And by interviewing more than 100 players, coaches, managers, and statisticians, as well as over five years of extensive research in neuroscience, biology, physiology, and psychology, Ryan proves that the social and emotional state of a team does affect performance. Grit, passion, selflessness, and effort matter -- but never underestimate the power of chemistry.

    We are being watched.We see online ads from websites we've visited, long after we've moved on to other interests. Our smartphones and cars transmit our location, enabling us to know what's in the neighborhood but also enabling others to track us. And the federal government, we recently learned, has been conducting a massive data-gathering surveillance operation across the Internet and on our phone lines.In Dragnet Nation, award-winning investigative journalist Julia Angwin reports from the front lines of America's surveillance economy, offering a revelatory and unsettling look at how the government, private companies, and even criminals use technology to indiscriminately sweep up vast amounts of our personal data. In a world where we can be watched in our own homes, where we can no longer keep secrets, and where we can be impersonated, financially manipulated, or even placed in a police lineup, Angwin argues that the greatest long-term danger is that we start to internalize the surveillance and censor our words and thoughts, until we lose the very freedom that makes us unique individuals. Appalled at such a prospect, Angwin conducts a series of experiments to try to protect herself, ranging from quitting Google to carrying a "burner" phone, showing how difficult it is for an average citizen to resist the dragnets' reach.Her book is a cautionary tale for all of us, with profound implications for our values, our society, and our very selves.

    Before Edward Snowden’s infamous data breach, the largest theft of government secrets was committed by an ingenious traitor whose intricate espionage scheme and complex system of coded messages were made even more baffling by his dyslexia. His name is Brian Regan, but he came to be known as The Spy Who Couldn’t Spell. In December of 2000, FBI Special Agent Steven Carr of the bureau’s Washington, D.C., office received a package from FBI New York: a series of coded letters from an anonymous sender to the Libyan consulate, offering to sell classified United States intelligence. The offer, and the threat, were all too real. A self-proclaimed CIA analyst with top secret clearance had information about U.S. reconnaissance satellites, air defense systems, weapons depots, munitions factories, and underground bunkers throughout the Middle East. Rooting out the traitor would not be easy, but certain clues suggested a government agent with a military background, a family, and a dire need for money. Leading a diligent team of investigators and code breakers, Carr spent years hunting down a dangerous spy and his cache of stolen secrets. In this fast-paced true-life spy thriller, Yudhijit Bhattacharjee reveals how the FBI unraveled Regan’s strange web of codes to build a case against a man who nearly collapsed America's military security.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.