One million people can create new market for a business, spark a social movement, or effect political change. In 1996, a microtrend identified by Penn ("soccer moms") was crucial in re-electing President Clinton. With years of experience as one of world's most highly regarded pollsters, Mark Penn identifies the new microtrends sweeping the world: *Single women by choice: More often than ever before, they aren't waiting for Mr. Right. They are raising children by themselves and buying their own homes.*Splitters: A growing number of middle-class residents are shuttling between two homes, creating new communities and dynamics in the real estate market.*Sun Haters: Environmentalists, skin cancer survivors, and parents concerned about the impact the sun is having on our health.*Philo-semites: A growing number of people want to date Jewish men and women.*Classical Music Dads: Older men who are fathers in their 40's and 50's and taking on a larger role in the nurturing of their children and becoming an important factor in consumer culture for kids. Penn highlights everything from religion to politics, from leisure pursuits to relationships. MICROTRENDS will take the reader deep into the worlds of polling, targeting, and psychographic analysis, reaching tantalizing conclusions through engaging analysis.

    With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

    In addition, this business genius mentored dozens of other important leaders on both coasts, from entrepreneurs to venture capitalists to educators to football players, leaving behind a legacy of growing companies, successful people, respect, friendship, and love after his death in 2016.Leaders at Google for over a decade, Eric Schmidt, Jonathan Rosenberg, and Alan Eagle experienced firsthand how the man fondly known as Coach Bill built trusting relationships, fostered personal growth—even in those at the pinnacle of their careers—inspired courage, and identified and resolved simmering tensions that inevitably arise in fast-moving environments. To honor their mentor and inspire and teach future generations, they have codified his wisdom in this essential guide.Based on interviews with over eighty people who knew and loved Bill Campbell, Trillion Dollar Coach explains the Coach’s principles and illustrates them with stories from the many great people and companies with which he worked. The result is a blueprint for forward-thinking business leaders and managers that will help them create higher performing and faster moving cultures, teams, and companies.

    By 1993, the computer industry had changed so rapidly the company was on its way to losing $16 billion and IBM was on a watch list for extinction -- victimized by its own lumbering size, an insular corporate culture, and the PC era IBM had itself helped invent.Then Lou Gerstner was brought in to run IBM. Almost everyone watching the rapid demise of this American icon presumed Gerstner had joined IBM to preside over its continued dissolution into a confederation of autonomous business units. This strategy, well underway when he arrived, would have effectively eliminated the corporation that had invented many of the industry's most important technologies.Instead, Gerstner took hold of the company and demanded the managers work together to re-establish IBM's mission as a customer-focused provider of computing solutions. Moving ahead of his critics, Gerstner made the hold decision to keep the company together, slash prices on his core product to keep the company competitive, and almost defiantly announced, "The last thing IBM needs right now is a vision."Who Says Elephants Can't Dance? tells the story of IBM's competitive and cultural transformation. In his own words, Gerstner offers a blow-by-blow account of his arrival at the company and his campaign to rebuild the leadership team and give the workforce a renewed sense of purpose. In the process, Gerstner defined a strategy for the computing giant and remade the ossified culture bred by the company's own success.The first-hand story of an extraordinary turnaround, a unique case study in managing a crisis, and a thoughtful reflection on the computer industry and the principles of leadership, Who Says Elephants Can't Dance? sums up Lou Gerstner's historic business achievement. Taking readers deep into the world of IBM's CEO, Gerstner recounts the high-level meetings and explains the pressure-filled, no-turning-back decisions that had to be made. He also offers his hard-won conclusions about the essence of what makes a great company run.In the history of modern business, many companies have gone from being industry leaders to the verge of extinction. Through the heroic efforts of a new management team, some of those companies have even succeeded in resuscitating themselves and living on in the shadow of their former stature. But only one company has been at the pinnacle of an industry, fallen to near collapse, and then, beyond anyone's expectations, returned to set the agenda. That company is IBM.Lou Gerstener, Jr., served as chairman and chief executive officer of IBM from April 1993 to March 2002, when he retired as CEO. He remained chairman of the board through the end of 2002. Before joining IBM, Mr. Gerstner served for four years as chairman and CEO of RJR Nabisco, Inc. This was preceded by an eleven-year career at the American Express Company, where he was president of the parent company and chairman and CEO of its largest subsidiary. Prior to that, Mr. Gerstner was a director of the management consulting firm of McKinsey & Co., Inc. He received a bachelor's degree in engineering from Dartmouth College and an MBA from Harvard Business School.

    In Zero to One, legendary entrepreneur and investor Peter Thiel shows how we can find singular ways to create those new things. Thiel begins with the contrarian premise that we live in an age of technological stagnation, even if we’re too distracted by shiny mobile devices to notice. Information technology has improved rapidly, but there is no reason why progress should be limited to computers or Silicon Valley. Progress can be achieved in any industry or area of business. It comes from the most important skill that every leader must master: learning to think for yourself.Doing what someone else already knows how to do takes the world from 1 to n, adding more of something familiar. But when you do something new, you go from 0 to 1. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. Tomorrow’s champions will not win by competing ruthlessly in today’s marketplace. They will escape competition altogether, because their businesses will be unique. Zero to One presents at once an optimistic view of the future of progress in America and a new way of thinking about innovation: it starts by learning to ask the questions that lead you to find value in unexpected places.

    Instead, The 12 Week Year avoids the pitfalls and low productivity of annualized thinking. This book redefines your "year" to be 12 weeks long. In 12 weeks, there just isn't enough time to get complacent, and urgency increases and intensifies. The 12 Week Year creates focus and clarity on what matters most and a sense of urgency to do it now. In the end more of the important stuff gets done and the impact on results is profound.Explains how to leverage the power of a 12-week year to drive improved results in any area of your lifeOffers a how-to book for both individuals and organizations seeking to improve their execution effectivenessAuthors are leading experts on execution and implementation Turn your organization's idea of a year on its head, and speed your journey to success.©2013 Brian P. Moran and Michael Lennington (P)2014 Audible Inc.

    Porter's Competitive Strategy has transformed the theory, practice, and teaching of business strategy throughout the world. Electrifying in its simplicity -- like all great breakthroughs -- Porter's analysis of industries captures the complexity of industry competition in five underlying forces. Porter introduces one of the most powerful competitive tools yet developed: his three generic strategies -- lowest cost, differentiation, and focus -- which bring structure to the task of strategic positioning. He shows how competitive advantage can be defined in terms of relative cost and relative prices, thus linking it directly to profitability, and presents a whole new perspective on how profit is created and divided. In the almost two decades since publication, Porter's framework for predicting competitor behavior has transformed the way in which companies look at their rivals and has given rise to the new discipline of competitor assessment. More than a million managers in both large and small companies, investment analysts, consultants, students, and scholars throughout the world have internalized Porter's ideas and applied them to assess industries, understand competitors,, and choose competitive positions. The ideas in the book address the underlying fundamentals of competition in a way that is independent of the specifics of the ways companies go about competing. Competitive Strategy has filled a void in management thinking. It provides an enduring foundation and grounding point on which all subsequent work can be built. By bringing a disciplined structure to the question of how firms achieve superior profitability, Porter's rich frameworks and deep insights comprise a sophisticated view of competition unsurpassed in the last quarter-century.

    Hand argues that extraordinarily rare events are anything but. In fact, they’re commonplace. Not only that, we should all expect to experience a miracle roughly once every month.     But Hand is no believer in superstitions, prophecies, or the paranormal. His definition of “miracle” is thoroughly rational. No mystical or supernatural explanation is necessary to understand why someone is lucky enough to win the lottery twice, or is destined to be hit by lightning three times and still survive. All we need, Hand argues, is a firm grounding in a powerful set of laws: the laws of inevitability, of truly large numbers, of selection, of the probability lever, and of near enough.     Together, these constitute Hand’s groundbreaking Improbability Principle. And together, they explain why we should not be so surprised to bump into a friend in a foreign country, or to come across the same unfamiliar word four times in one day. Hand wrestles with seemingly less explicable questions as well: what the Bible and Shakespeare have in common, why financial crashes are par for the course, and why lightning does strike the same place (and the same person) twice. Along the way, he teaches us how to use the Improbability Principle in our own lives—including how to cash in at a casino and how to recognize when a medicine is truly effective.     An irresistible adventure into the laws behind “chance” moments and a trusty guide for understanding the world and universe we live in, The Improbability Principle will transform how you think about serendipity and luck, whether it’s in the world of business and finance or you’re merely sitting in your backyard, tossing a ball into the air and wondering where it will land.

    It draws our attention away from the bright shiny objects of the new colonialism through elucidating the social, material and political dimensions of Artificial Intelligence.”—Geoffrey C. Bowker, University of California, Irvine What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased racial, gender, and economic inequality. Drawing on more than a decade of research, award‑winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind “automated” services, to the data AI collects from us.    Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

    C. R. Licklider, whose visionary dream of a human-computer symbiosis transformed the course of modern science and led to the development of the personal computer. Reprint.

    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

    It uses technology in new ways to make information universally accessible; promotes a corporate culture that encourages creativity among its employees; and takes its role as a corporate citizen very seriously, investing in green initiatives and developing the largest corporate foundation in the United States.Following in the footsteps of Warren Buffett Speaks and Jack Welch Speaks--which contain a conversational style that successfully captures the essence of these business leaders--Google Speaks reveals the amazing story behind one of the most important new companies of our time by exploring the people and philosophies that have made it a global phenomenon in less than fifteen years.Written by bestselling author Janet Lowe, this book offers an engaging look at how Google's founders, Sergey Brin and Larry Page, transformed their vision of a better Internet search engine into a business colossus with about $16 billion in annual revenue. Lowe discusses the values that drive Brin and Page--for example, how they both live fairly modest lives, despite each having a net worth in excess of $15.9 billion--and details how they have created a culture that fosters fun while, at the same time, keeping Google at the forefront of technology through relentless R&D investments and imaginative partnerships with organizations such as NASA.In addition to examining Google's breakthrough business strategies and new business models--which have transformed online advertising and changed the way we look at corporate responsibility and employee relations--Lowe explains why Google may be a harbinger of where corporate America is headed. She also addresses controversies surrounding Google, such as copyright infringement, antitrust concerns, and personal privacy and poses the question almost every successful company must face: as Google grows, can it hold on to its entrepreneurial spirit as well as its informal motto, "Don't do evil"?What started out as a university research project conducted by Sergey Brin and Larry Page has ended up revolutionizing the world we live in. Google Speaks puts these incredible entrepreneurs in perspective and shows you how their drive and determination have allowed them to create one of today's most powerful companies.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Some offer quick, silver-bullet remedies--a straight line to success!--and some are so technical that readers get lost before they begin.Now, there's Mapping Innovation, a refreshing alternative in the crowded business innovation space. Engaging and informative without sacrificing substance and expertise, this groundbreaking guide provides thorough background on some of the greatest innovations of the past century as well as . It details the processes that advanced them from inception to world-changing products--and shows you how to replicate their success.Business innovation expert Greg Satell helps you find your way by revealing the four models of innovation: Basic Research, Breakthrough Innovation, Sustaining Innovation, and Disruptive Innovation. One size does not fit all, so he provides a framework--the Innovation Matrix--for discovering which "type" of innovation process best suits the problem you need to solve. It's about asking the right questions, so that you can apply the right strategies to the problems you need to solve. In the end, you'll have a crystal clear model for disrupting the marketplace, scaling your efforts to propel your enterprise forward, and leverage digital platforms to your advantage.Mapping Innovation offers a simple and accessible but powerful approach to developing a strategy that will put you light years ahead of the competition!.

    In Working Backwards, these two long-serving Amazon executives reveal and codify the principles and practices that drive the success of one of the most extraordinary companies the world has ever known. With twenty-seven years of Amazon experience between them, much of it in the early aughts—a period of unmatched innovation that brought products and services including Kindle, Amazon Prime, Amazon Studios, and Amazon Web Services to life—Bryar and Carr offer unprecedented access to the Amazon way as it was refined, articulated, and proven to be repeatable, scalable, and adaptable.With keen analysis and practical steps for applying it at your own company—no matter the size—the authors illuminate how Amazon’s fourteen leadership principles inform decision-making at all levels and reveal how the company’s culture has been defined by four characteristics: customer obsession, long-term thinking, eagerness to invent, and operational excellence. Bryar and Carr explain the set of ground-level practices that ensure these are translated into action and flow through all aspects of the business.Working Backwards is a practical guidebook and a corporate narrative, filled with the authors’ in-the-room recollections of what “Being Amazonian” is like and how it has affected their personal and professional lives. They demonstrate that success on Amazon’s scale is not achieved by the genius of any single leader, but rather through commitment to and execution of a set of well-defined, rigorously-executed principles and practices—shared here for the very first time. A Macmillan Audio production from St. Martin's Press