Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    The diversity of its themes and the broad perspectives applied to them make the book a work of general history as much as a history of the theory and practice of war from the Renaissance to the present. Makers of Modern Strategy from Machiavelli to the Nuclear Age takes the first part of its title from an earlier collection of essays, published by Princeton University Press in 1943, which became a classic of historical scholarship. Three essays are repinted from the earlier book; four others have been extensively revised. The rest--twenty-two essays--are new.The subjects addressed range from major theorists and political and military leaders to impersonal forces. Machiavelli, Clausewitz, and Marx and Engels are discussed, as are Napoleon, Churchill, and Mao. Other essays trace the interaction of theory and experience over generations--the evolution of American strategy, for instance, or the emergence of revolutionary war in the modern world. Still others analyze the strategy of particular conflicts--the First and Second World Wars--or the relationship between technology, policy, and war in the nuclear age. Whatever its theme, each essay places the specifics of military thought and action in their political, social, and economic environment. Together the contributors have produced a book that reinterprets and illuminates war, one of the most powerful forces in history and one that cannot be controlled in the future without an understanding of its past.

    This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

    An urgent wake-up call that identifies our foes; unveils their methods; and charts the dire consequences for government, business, and individuals.Shortly after 9/11, Joel Brenner entered the inner sanctum of American espionage, first as the inspector general of the National Security Agency, then as the head of counterintelligence for the director of national intelligence. He saw at close range the battleground on which our adversaries are now attacking us-cyberspace. We are at the mercy of a new generation of spies who operate remotely from China, the Middle East, Russia, even France, among many other places. These operatives have already shown their ability to penetrate our power plants, steal our latest submarine technology, rob our banks, and invade the Pentagon's secret communications systems.Incidents like the WikiLeaks posting of secret U.S. State Department cables hint at the urgency of this problem, but they hardly reveal its extent or its danger. Our government and corporations are a "glass house," all but transparent to our adversaries. Counterfeit computer chips have found their way into our fighter aircraft; the Chinese stole a new radar system that the navy spent billions to develop; our own soldiers used intentionally corrupted thumb drives to download classified intel from laptops in Iraq. And much more.Dispatches from the corporate world are just as dire. In 2008, hackers lifted customer files from the Royal Bank of Scotland and used them to withdraw $9 million in half an hour from ATMs in the United States, Britain, and Canada. If that was a traditional heist, it would be counted as one of the largest in history. Worldwide, corporations lose on average $5 million worth of intellectual property apiece annually, and big companies lose many times that.The structure and culture of the Internet favor spies over governments and corporations, and hackers over privacy, and we've done little to alter that balance. Brenner draws on his extraordinary background to show how to right this imbalance and bring to cyberspace the freedom, accountability, and security we expect elsewhere in our lives.In America the Vulnerable, Brenner offers a chilling and revelatory appraisal of the new faces of war and espionage-virtual battles with dangerous implications for government, business, and all of us.

    Evidence has shown that creative geniuses are not attached to one identity, but constantly willing to rethink their stances and that leaders who admit they don't know something and seek critical feedback lead more productive and innovative teams.New evidence shows us that as a mindset and a skilllset, rethinking can be taught and Grant explains how to develop the necessary qualities to do it. Section 1 explores why we struggle to think again and how we can learn to do it as individuals, arguing that 'grit' alone can actually be counterproductive. Section 2 discusses how we can help others think again through learning about 'argument literacy'. And the final section 3 looks at how schools, businesses and governments fall short in building cultures that encourage rethinking.In the end, learning to rethink may be the secret skill to give you the edge in a world changing faster than ever.

    We can all learn from these strategies. In this detailed analysis of IoT and Amazon's and other leading companies approach to it, John Rossman guides readers with practical insights and recommendations into the strategies and mindset transforming business and society. "John has laid out a blueprint not only for an enterprise wanting to understand how sensors embedded in their business can innovate old ways of working while also providing an excellent path for individuals wanting to start their own IoT business. The book is not only a reference tool but also paints a story around innovation and customer centricity to challenge the reader to think differently in solving problems." Eric Martinez -- Founder of Modjoul, former EVP AIG and Safeco Insurance The Amazon Way on IoT explains how the combination of sensors, cloud computing and machine learning can be used to improve customer experiences, drive operational improvements and build new business models. Rossman offers: - Guidance through the maze of emerging technologies, customer experiences, and business models, to arrive at a recipe just right for your organization - Key methods to success from Amazon’s master playbook such as creating seamless customer experiences, process improvement and new business models and utilizing tools such as sensors, machine learning and cloud computing - Approaches to help you tackle the technology, business and internal challenges in innovating with the internet of things. Renowned Harvard business professor Michael Porter describes the IoT as the backbone for a third-wave of technology-led innovation and digital disruption. The Amazon Way on IoT is for business people who want to learn cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach. As a leader at Amazon who held a front-row seat during its formative years, Rossman understands the iconic company better than most. From the launch of Amazon’s third-party seller program to its foray into enterprise services, he witnessed it all – the amazing successes, the little-known failures, and the experiments with outcomes still to be determined. Rossman once again examines the heart of Amazon.com’s secret to success, along with other leading companies. He incorporates an extensive focus on sophisticated IoT technologies and strategies related to Amazon’s rise: tens of millions of items in stock, the company’s technological prowess, and the many customer service innovations such as “one-click.” “This is an excellent book. And a very important book. It evokes both business thought and technical thought, which is rare.” -- Larry Hughes, former head of Amazon cyber security

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers.In Factfulness, Professor of International Health and global TED phenomenon Hans Rosling, together with his two long-time collaborators, Anna and Ola, offers a radical new explanation of why this happens. They reveal the ten instincts that distort our perspective—from our tendency to divide the world into two camps (usually some version of us and them) to the way we consume media (where fear rules) to how we perceive progress (believing that most things are getting worse).Our problem is that we don’t know what we don’t know, and even our guesses are informed by unconscious and predictable biases.It turns out that the world, for all its imperfections, is in a much better state than we might think. That doesn’t mean there aren’t real concerns. But when we worry about everything all the time instead of embracing a worldview based on facts, we can lose our ability to focus on the things that threaten us most.Inspiring and revelatory, filled with lively anecdotes and moving stories, Factfulness is an urgent and essential book that will change the way you see the world and empower you to respond to the crises and opportunities of the future.

    The ethic of "more, bigger, faster" exacts a series of silent but pernicious costs at work, undermining our energy, focus, creativity, and passion. Nearly 75 percent of employees around the world feel disengaged at work every day. "The Way We're Working Isn't Working "offers a groundbreaking approach to reenergizing our lives so we're both more satisfied and more productive--on the job and off.By integrating multidisciplinary findings from the science of high performance, Tony Schwartz, coauthor of the #1 bestselling "The Power of Full Engagement, "makes a persuasive case that we're neglecting the four core needs that energize great performance: sustainability (physical); security (emotional); self-expression (mental); and significance (spiritual). Rather than running like computers at high speeds for long periods, we're at our best when we pulse rhythmically between expending and regularly renewing energy across each of our four needs.Organizations undermine sustainable high performance by forever seeking to get more out of their people. Instead they should seek systematically to meet their four core needs so they're freed, fueled, and inspired to bring the best of themselves to work every day.Drawing on extensive work with an extra-ordinary range of organizations, among them Google, Ford, Sony, Ernst & Young, Shell, IBM, the Los Angeles Police Department, and the Cleveland Clinic, Schwartz creates a road map for a new way of working. At the individual level, he explains how we can build specific rituals into our daily schedules to balance intense effort with regular renewal; offset emotionally draining experiences with practices that fuel resilience; move between a narrow focus on urgent demands and more strategic, creative thinking; and balance a short-term focus on immediate results with a values-driven commitment to serving the greater good. At the organizational level, he outlines new policies, practices, and cultural messages that Schwartz's client companies have adopted."The Way We're Working Isn't Working "offers individuals, leaders, and organizations a highly practical, proven set of strategies to better manage the relentlessly rising demands we all face in an increasingly complex world.

    Then came SuperFreakonomics, a documentary film, an award-winning podcast, and more.Now, with Think Like a Freak, Steven D. Levitt and Stephen J. Dubner have written their most revolutionary book yet. With their trademark blend of captivating storytelling and unconventional analysis, they take us inside their thought process and teach us all to think a bit more productively, more creatively, more rationally—to think, that is, like a Freak.Levitt and Dubner offer a blueprint for an entirely new way to solve problems, whether your interest lies in minor lifehacks or major global reforms. As always, no topic is off-limits. They range from business to philanthropy to sports to politics, all with the goal of retraining your brain. Along the way, you’ll learn the secrets of a Japanese hot-dog-eating champion, the reason an Australian doctor swallowed a batch of dangerous bacteria, and why Nigerian e-mail scammers make a point of saying they’re from Nigeria.Some of the steps toward thinking like a Freak:First, put away your moral compass—because it’s hard to see a problem clearly if you’ve already decided what to do about it.Learn to say “I don’t know”—for until you can admit what you don’t yet know, it’s virtually impossible to learn what you need to.Think like a child—because you’ll come up with better ideas and ask better questions.Take a master class in incentives—because for better or worse, incentives rule our world.Learn to persuade people who don’t want to be persuaded—because being right is rarely enough to carry the day.Learn to appreciate the upside of quitting—because you can’t solve tomorrow’s problem if you aren’t willing to abandon today’s dud.Levitt and Dubner plainly see the world like no one else. Now you can too. Never before have such iconoclastic thinkers been so revealing—and so much fun to read.

    It is also the most enigmatic, shrouded in secrecy. Mossad: The Greatest Missions of the Israeli Secret Service unveils the defi ning and most dangerous operations that have shaped Israel and the world at large from the agency's more than sixty-year history, among them: the capture of Adolf Eichmann, the eradication of Black September, the destruction of the Syrian nuclear facility, and the elimination of key Iranian nuclear scientists.Through intensive research and exclusive interviews with Israeli leaders and Mossad agents, authors Michael Bar-Zohar and Nissim Mishal re-create these missions in riveting detail, vividly bringing to life the heroic operatives who risked everything in the face of unimaginable danger. In the words of Shimon Peres, president of Israel, this gripping, white-knuckle read "tells what should have been known and isn't--that Israel's hidden force is as formidable as its recognized physical strength."

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    Conventional wisdom long held that big name, highly athletic hitters and young pitchers with rocket arms were the ticket to success. But Beane and his staff, buoyed by massive amounts of carefully interpreted statistical data, believed that wins could be had by more affordable methods such as hitters with high on-base percentage and pitchers who get lots of ground outs. Given this information and a tight budget, Beane defied tradition and his own scouting department to build winning teams of young affordable players and inexpensive castoff veterans. Lewis was in the room with the A's top management as they spent the summer of 2002 adding and subtracting players and he provides outstanding play-by-play. In the June player draft, Beane acquired nearly every prospect he coveted (few of whom were coveted by other teams) and at the July trading deadline he engaged in a tense battle of nerves to acquire a lefty reliever. Besides being one of the most insider accounts ever written about baseball, Moneyball is populated with fascinating characters. We meet Jeremy Brown, an overweight college catcher who most teams project to be a 15th round draft pick (Beane takes him in the first). Sidearm pitcher Chad Bradford is plucked from the White Sox triple-A club to be a key set-up man and catcher Scott Hatteberg is rebuilt as a first baseman. But the most interesting character is Beane himself. A speedy athletic can't-miss prospect who somehow missed, Beane reinvents himself as a front-office guru, relying on players completely unlike, say, Billy Beane. Lewis, one of the top nonfiction writers of his era (Liar's Poker, The New New Thing), offers highly accessible explanations of baseball stats and his roadmap of Beane's economic approach makes Moneyball an appealing reading experience for business people and sports fans alike. --John Moe

     Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently. Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th Edition: Places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert. Presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de-alias effects. Includes detailed discussions on how computers are currently used in the analysis and design of experiments. Offers new material on a number of important topics, including follow-up experimentation and split-plot design. Focuses even more sharply on factorial and fractional factorial design.

    Not simply revised, but completely re-written, the Second Edition of this classic text is a fresh reinterpretation of the theories and events surrounding the Cuban Missle Crisis, incorporating all new information from the Kennedy tapes and recently declassified Soviet files. Essence of Decision Second Edition, is a vivid look at decision-making under pressure and is the only single volume work that attempts to answer the enduring question: how should citizens understand the actions of their government?