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

    When we make mistakes, we must calm the cognitive dissonance that jars our feelings of self-worth. And so we create fictions that absolve us of responsibility, restoring our belief that we are smart, moral, and right -- a belief that often keeps us on a course that is dumb, immoral, and wrong. Backed by years of research and delivered in lively, energetic prose, Mistakes Were Made (But Not by Me) offers a fascinating explanation of self-deception -- how it works, the harm it can cause, and how we can overcome it.

    Uber had catapulted to the top of the tech world, yet for many came to symbolize everything wrong with Silicon Valley.Award-winning New York Times technology correspondent Mike Isaac’s Super Pumped presents the dramatic rise and fall of Uber, set against an era of rapid upheaval in Silicon Valley. Backed by billions in venture capital dollars and led by a brash and ambitious founder, Uber promised to revolutionize the way we move people and goods through the world. A near instant “unicorn,” Uber seemed poised to take its place next to Amazon, Apple, and Google as a technology giant.What followed would become a corporate cautionary tale about the perils of startup culture and a vivid example of how blind worship of startup founders can go wildly wrong. Isaac recounts Uber’s pitched battles with taxi unions and drivers, the company’s toxic internal culture, and the bare-knuckle tactics it devised to overcome obstacles in its quest for dominance. With billions of dollars at stake, Isaac shows how venture capitalists asserted their power and seized control of the startup as it fought its way toward its fateful IPO.Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a page-turning story of ambition and deception, obscene wealth, and bad behavior that explores how blistering technological and financial innovation culminated in one of the most catastrophic twelve-month periods in American corporate history.

    No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could.What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success.In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

    In this book, Agile Alliance cofounder Mike Cohn discusses the philosophy of agile estimating and planning and shows you exactly how to get the job done, with real-world examples and case studies.Concepts are clearly illustrated and readers are guided, step by step, toward how to answer the following questions: What will we build? How big will it be? When must it be done? How much can I really complete by then? You will first learn what makes a good plan-and then what makes it agile.Using the techniques in Agile Estimating and Planning , you can stay agile from start to finish, saving time, conserving resources, and accomplishing more. Highlights include:Why conventional prescriptive planning fails and why agile planning works How to estimate feature size using story points and ideal days--and when to use each How and when to re-estimate How to prioritize features using both financial and nonfinancial approaches How to split large features into smaller, more manageable ones How to plan iterations and predict your team's initial rate of progress How to schedule projects that have unusually high uncertainty or schedule-related risk How to estimate projects that will be worked on by multiple teams Agile Estimating and Planning supports any agile, semiagile, or iterative process, including Scrum, XP, Feature-Driven Development, Crystal, Adaptive Software Development, DSDM, Unified Process, and many more. It will be an indispensable resource for every development manager, team leader, and team member.

    Along the way, we encounter black holes, turtles, snakes, dragons, axe-sharpening, and yak-shaving—and take a guided tour through the theories and methods, both brilliant and misguided, that litter the history of software development, from the famous ‘mythical man-month’ to Extreme Programming. Not just for technophiles but for anyone captivated by the drama of invention, Dreaming in Code offers a window into both the information age and the workings of the human mind.

    The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck?Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there is always information that is hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making?Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes and bad decisions don't always lead to bad outcomes.By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate and successful in the long run.

    More than a series of fascinating case studies, To Engineer Is Human is a work that looks at our deepest notions of progress and perfection, tracing the fine connection between the quantifiable realm of science and the chaotic realities of everyday life."Alert, inquisitive, unspecialized, wholly human...refreshingly eclectic." --The Spectator"Henry Petroski is an ardent engineer, and if he writes more good books like this, he might find himself nominated to become the meistersinger of the guild. [This is] a refreshing plunge into the dynamics of the engineering ethos...as straightforward as an I-beam."--Science

    Whether you're coaching soccer or teaching a child to play the piano, writing a novel or trying to improve your golf swing, this revolutionary book shows you how to grow talent by tapping into a newly discovered brain mechanism.Drawing on cutting-edge neurology and firsthand research gathered on journeys to nine of the world's talent hotbeds—from the baseball fields of the Caribbean to a classical-music academy in upstate New York—Coyle identifies the three key elements that will allow you to develop your gifts and optimize your performance in sports, art, music, math, or just about anything. • Deep Practice--Everyone knows that practice is a key to success. What everyone doesn't know is that specific kinds of practice can increase skill up to ten times faster than conventional practice.• Ignition--We all need a little motivation to get started. But what separates truly high achievers from the rest of the pack? A higher level of commitment—call it passion—born out of our deepest unconscious desires and triggered by certain primal cues. Understanding how these signals work can help you ignite passion and catalyze skill development.• Master Coaching--What are the secrets of the world's most effective teachers, trainers, and coaches? Discover the four virtues that enable these "talent whisperers" to fuel passion, inspire deep practice, and bring out the best in their students.These three elements work together within your brain to form myelin, a microscopic neural substance that adds vast amounts of speed and accuracy to your movements and thoughts. Scientists have discovered that myelin might just be the holy grail: the foundation of all forms of greatness, from Michelangelo's to Michael Jordan's. The good news about myelin is that it isn't fixed at birth; to the contrary, it grows, and like anything that grows, it can be cultivated and nourished. Combining revelatory analysis with illuminating examples of regular people who have achieved greatness, this book will not only change the way you think about talent, but equip you to reach your own highest potential.

    Rather than believing they have to start with a big idea or plan a whole project out in advance, trying to foresee the final outcome, they make a series of little bets about what might be a good direction, learning from lots of little failures and from small but highly significant wins that allow them to happen upon unexpected avenues and arrive at extraordinary outcomes.           Based on deep and extensive research, including more than 200 interviews with leading innovators, Sims discovered that productive, creative thinkers and doers—from Ludwig van Beethoven to Thomas Edison and Amazon’s Jeff Bezos—practice a key set of simple but ingenious experimental methods—such as failing quickly to learn fast, tapping into the genius of play, and engaging in highly immersed observation—that free their minds, opening them up to making unexpected connections and perceiving invaluable insights. These methods also unshackle them from the constraints of overly analytical thinking and linear problem solving that our education places so much emphasis on, as well as from the fear of failure, all of which thwart so many of us in trying to be more innovative.               Reporting on a fascinating range of research, from the psychology of creative blocks to the influential Silicon Valley–based field of design thinking, Sims offers engaging and wonderfully illuminating accounts of breakthrough innovators at work, including how Hewlett-Packard stumbled onto the breakaway success of the first hand-held calculator; the remarkable storyboarding process at Pixar films that has been the key to their unbroken streak of box office successes; the playful discovery process by which Frank Gehry arrived at his critically acclaimed design for Disney Hall; the aha revelation that led Amazon to pursue its wildly successful affiliates program; and the U.S. Army’s ingenious approach to counterinsurgency operations that led to the dramatic turnaround in Iraq.               Fast paced and as entertaining as it is illuminating, Little Bets offers a whole new way of thinking about how to break away from the narrow strictures of the methods of analyzing and problem solving we were all taught in school and unleash our untapped creative powers.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The Google Story takes you deep inside the company's wild ride from an idea that struggled for funding in 1998 to a firm that rakes in billions in profits, making Brin and Page the wealthiest young men in America. Based on scrupulous research and extraordinary access to Google, this fast-moving narrative reveals how an unorthodox management style and culture of innovation enabled a search engine to shake up Madison Avenue and Wall Street, scoop up YouTube, and battle Microsoft at every turn. Not afraid of controversy, Google is expanding in Communist China and quietly working on a searchable genetic database, initiatives that test the founders' guiding mantra: DON'T BE EVIL.

    It is a deeply reported and researched, honest and often hilarious journey from feeling that, as one character in the book said, time is like a "rabid lunatic" running naked and screaming as your life flies past you, to understanding the historical and cultural roots of the overwhelm, how worrying about all there is to do and the pressure of feeling like we're never have enough time to do it all, or do it well, is "contaminating" our experience of time, how time pressure and stress is resculpting our brains and shaping our workplaces, our relationships and squeezing the space that the Greeks said was the point of living a Good Life: that elusive moment of peace called leisure.Author Brigid Schulte, an award-winning journalist for the Washington Post - and harried mother of two - began the journey quite by accident, after a time-use researcher insisted that she, like all American women, had 30 hours of leisure each week. Stunned, she accepted his challenge to keep a time diary and began a journey that would take her from the depths of what she described as the Time Confetti of her days to a conference in Paris with time researchers from around the world, to North Dakota, of all places, where academics are studying the modern love affair with busyness, to Yale, where neuroscientists are finding that feeling overwhelmed is actually shrinking our brains, to exploring new lawsuits uncovering unconscious bias in the workplace, why the US has no real family policy, and where states and cities are filling the federal vacuum.She spent time with mothers drawn to increasingly super intensive parenting standards, and mothers seeking to pull away from it. And she visited the walnut farm of the world's most eminent motherhood researcher, an evolutionary anthropologist, to ask, are mothers just "naturally" meant to be the primary parent? The answer will surprise you.Along the way, she was driven by two questions, Why are things the way they are? and, How can they be better? She found real world bright spots of innovative workplaces, couples seeking to shift and share the division of labor at home and work more equitably and traveled to Denmark, the happiest country on earth, where fathers - and mothers - have more pure leisure time than parents in other industrial countries. She devoured research about the science of play, why it's what makes us human, and the feminist leisure research that explains why it's so hard for women to allow themselves to. The answers she found are illuminating, perplexing and ultimately hopeful. The book both outlines the structural and policy changes needed - already underway in small pockets - and mines the latest human performance and motivation science to show the way out of the overwhelm and toward a state that time use researchers call ... Time Serenity.

    A new book that explores the science of productivity, and why, in today’s world, managing how you think—rather than what you think—can transform your life.

    A malicious online rumor costs a company millions. A political sideshow derails the national news cycle and destroys a candidate. Some product or celebrity zooms from total obscurity to viral sensation. What you don't know is that someone is responsible for all this. Usually, someone like me.I'm a media manipulator. In a world where blogs control and distort the news, my job is to control blogs--as much as any one person can. In today's culture... 1) Blogs like "Gawker," "Buzzfeed" and the "Huffington Post" drive the media agenda. 2) Bloggers are slaves to money, technology, and deadlines. 3) Manipulators wield these levers to shape everything you read, see and watch--online and off.Why am I giving away these secrets? Because I'm tired of a world where blogs take indirect bribes, marketers help write the news, reckless journalists spread lies, and no one is accountable for any of it. I'm pulling back the curtain because I don't want anyone else to get blindsided. I'm going to explain exactly how the media "really" works. What you choose to do with this information is up to you.