It’s about how people, organizations and societies can and must hit refresh—transform—in their persistent quest for new energy, new ideas, relevance and renewal. At the core, it’s about us humans and our unique qualities, like empathy, which will become ever more valuable in a world where the torrent of technology will disrupt like never before. As much a humanist as a technologist, Nadella defines his mission and that of the company he leads as empowering every person and every organization on the planet to achieve more.

    Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

    Uber and Airbnb are household names: redefining neighbourhoods, challenging the way governments regulate business and changing the way we travel.In the spirit of iconic Silicon Valley renegades like Steve Jobs and Bill Gates, a new generation of entrepreneurs is sparking yet another cultural upheaval through technology. They are among the Upstarts, idiosyncratic founders with limitless drive and an abundance of self-confidence. Young, hungry and brilliant, they are rewriting the traditional rules of business, changing our day-to-day lives and often sidestepping serious ethical and legal obstacles in the process.The Upstarts is the definitive account of a dawning age of tenacity, creativity, conflict and wealth. In Brad Stone’s highly anticipated and riveting account of the most radical companies of the new Silicon Valley, we find out how it all started, and how the world is wildly different than it was ten years ago.

    The 13th Edition continues its market leading up-to-date coverage of service operations as well. The text includes solved examples and problems, enough cases for MBA courses to use without supplementing, and the industry leading technology support suite.

    In a 1995 interview, the late Steve Jobs claimed that the secret to his and Apple’s success was talent. “We’ve gone to exceptional lengths to hire the best people,” he said, believing that the talented resource was twenty-five times more valuable than an average alternative. For Microsoft founder Bill Gates, the multiple was even higher:A great lathe operator commands several times the wage of an average lathe operator, but a great writer of software code is worth 10,000 times the price of an average software writer.While the actual number might be up for debate, the importance of technical talent is not. The most successful companies today are those that understand the strategic role that developers will play in their success or failure. Not just successful technology companies – virtually every company today needs a developer strategy. There’s a reason that ESPN and Sears have rolled out API programs, that companies are being bought not for their products but their people. The reason is that developers are the most valuable resource in business.How did we get here? How did developers become the most important constituency in business seemingly overnight? The New Kingmakers explores the rise of the developer class, its implications and provides suggestions for navigating the new developer-centric landscape.

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"

    With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work"

    But when he took the helm in 2004, America was losing that war badly: despite vastly inferior resources and technology, Al Qaeda was outmaneuvering America’s most elite warriors. McChrystal came to realize that today’s faster, more interdependent world had overwhelmed the conventional, top-down hierarchy of the US military. Al Qaeda had seen the future: a decentralized network that could move quickly and strike ruthlessly. To defeat such an enemy, JSOC would have to discard a century of management wisdom, and pivot from a pursuit of mechanical efficiency to organic adaptability. Under McChrystal’s leadership, JSOC remade itself, in the midst of a grueling war, into something entirely new: a network that combined robust centralized communication with decentralized managerial authority. As a result, they beat back Al Qaeda. In this book, McChrystal shows not only how the military made that transition, but also how similar shifts are possible in all organizations, from large companies to startups to charities to governments. In a turbulent world, the best organizations think and act like a team of teams, embracing small groups that combine the freedom to experiment with a relentless drive to share what they’ve learned. Drawing on a wealth of evidence from his military career, the private sector, and sources as diverse as hospital emergency rooms and NASA’s space program, McChrystal frames the existential challenge facing today’s organizations, and presents a compelling, effective solution.

    The consensus is clear: MBA programs are a waste of time and money. Even the elite schools offer outdated assembly-line educations about profit-and-loss statements and PowerPoint presentations. After two years poring over sanitized case studies, students are shuffled off into middle management to find out how business really works.Josh Kaufman has made a business out of distilling the core principles of business and delivering them quickly and concisely to people at all stages of their careers. His blog has introduced hundreds of thousands of readers to the best business books and most powerful business concepts of all time. In The Personal MBA, he shares the essentials of sales, marketing, negotiation, strategy, and much more.True leaders aren't made by business schools-they make themselves, seeking out the knowledge, skills, and experiences they need to succeed. Read this book and in one week you will learn the principles it takes most people a lifetime to master.

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    Unquestionably the best-documented account of sales success ever collected and the result of the Huthwaite corporation's massive 12-year, $1-million dollar research into effective sales performance, this groundbreaking resource details the revolutionary SPIN (Situation, Problem, Implication, Need-payoff) strategy.In SPIN Selling, Rackham, who has advised leading companies such as IBM and Honeywell delivers the first book to specifically examine selling high-value product and services. By following the simple, practical, and easy-to-apply techniques of SPIN, readers will be able to dramatically increase their sales volume from major accounts. Rackham answers key questions such as "What makes success in major sales" and "Why do techniques like closing work in small sales but fail in larger ones?"You will learn why traditional sales methods which were developed for small consumer sales, just won't work for large sales and why conventional selling methods are doomed to fail in major sales. Packed with real-world examples, illuminating graphics, and informative case studies - and backed by hard research data - SPIN Selling is the million-dollar key to understanding and producing record-breaking high-end sales performance.

    By outlining the process every organization must go through to achieve its goals, and by identifying where and how even top performers derail during the change process, Kotter provides a practical resource for leaders and managers charged with making change initiatives work.Needed more today than at any time in the past, this immensely relevant bestselling business book serves as both visionary guide and practical toolkit on how to approach the difficult yet crucial work of leading change in any type of organization. Reading this highly personal book is like spending a day with the world’s foremost expert on business leadership. You’re sure to walk away inspired—and armed with the tools you need to inspire others. Published by Harvard Business Review Press.

    R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES - Exploring R, RStudio, and R packages - Using R for math: variable types, vectors, calling functions, and more - Exploiting data structures, including data.frames, matrices, and lists - Creating attractive, intuitive statistical graphics - Writing user-defined functions - Controlling program flow with if, ifelse, and complex checks - Improving program efficiency with group manipulations - Combining and reshaping multiple datasets - Manipulating strings using R's facilities and regular expressions - Creating normal, binomial, and Poisson probability distributions - Programming basic statistics: mean, standard deviation, and t-tests - Building linear, generalized linear, and nonlinear models - Assessing the quality of models and variable selection - Preventing overfitting, using the Elastic Net and Bayesian methods - Analyzing univariate and multivariate time series data - Grouping data via K-means and hierarchical clustering - Preparing reports, slideshows, and web pages with knitr - Building reusable R packages with devtools and Rcpp - Getting involved with the R global community

    Christensen says outstanding companies can do everything right and still lose their market leadership -- or worse, disappear completely. And he not only proves what he says, he tells others how to avoid a similar fate.Focusing on "disruptive technology" -- the Honda Super Cub, Intel's 8088 processor, or the hydraulic excavator, for example -- Christensen shows why most companies miss "the next great wave." Whether in electronics or retailing, a successful company with established products will get pushed aside unless managers know when to abandon traditional business practices. Using the lessons of successes and failures from leading companies, "The Innovator's Dilemma" presents a set of rules for capitalizing on the phenomenon of disruptive innovation.

    Crossing the Chasm has become the bible for bringing cutting-edge products to progressively larger markets. This edition provides new insights into the realities of high-tech marketing, with special emphasis on the Internet. It's essential reading for anyone with a stake in the world's most exciting marketplace.