It's Tuesday morning and on his drive into the office, Bill gets a call from the CEO. The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced. With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited. In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.

    It's great to have theory and evidenced-based research at your disposal, but what will you do when somebody asks you to make your dashboard 'cooler' by adding packed bubbles and donut charts?The expert authors have a combined 30-plus years of hands-on experience helping people in hundreds of organizations build effective visualizations. They have fought many 'best practices' battles and having endured bring an uncommon empathy to help you, the reader of this book, survive and thrive in the data visualization world.A well-designed dashboard can point out risks, opportunities, and more; but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. The Big Book of Dashboards gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage.

    Every aircraft is equipped with an almost indestructible black box. When there is an accident, the box is opened, the data is analyzed, and the reason for the accident excavated. This ensures that procedures are adapted so that the same mistake doesn’t happen again. With this method, the industry has created an astonishing safety record.For pilots working in a safety-critical industry, getting it wrong can have deadly consequences. But most of us have a relationship with failure that impedes progress, halts innovation, and damages our lives. We don’t acknowledge it or learn from it —though we often think we do.Moving from anthropology to psychology and from history to complexity theory, Matthew Syed explains why even when we think we have 20/20 hindsight, our vision’s still fuzzy. He offers a radical new idea: that the most important determinant of success in any field, whether sports, business, or life, is an acknowledgment of failure and a willingness to engage with it. This is how we learn, progress and excel. This approach explains everything from biological evolution and the efficiency of markets to the success of the Mercedes F1 team and the mindset of David Beckham.Using a cornucopia of interviews, gripping stories, and sharp-edged science, Syed explores the intimate relationship between failure and success, and shows why we need to transport black box thinking into our own lives. If we wish to unleash our potential, we must diagnose and break free of our failures. Part manifesto for change, part intellectual adventure, this groundbreaking book reveals how to do both.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    They are the ones who prefer listening to speaking; who innovate and create but dislike self-promotion; who favor working on their own over working in teams. It is to introverts—Rosa Parks, Chopin, Dr. Seuss, Steve Wozniak—that we owe many of the great contributions to society. In Quiet, Susan Cain argues that we dramatically undervalue introverts and shows how much we lose in doing so. She charts the rise of the Extrovert Ideal throughout the twentieth century and explores how deeply it has come to permeate our culture. She also introduces us to successful introverts—from a witty, high-octane public speaker who recharges in solitude after his talks, to a record-breaking salesman who quietly taps into the power of questions. Passionately argued, superbly researched, and filled with indelible stories of real people, Quiet has the power to permanently change how we see introverts and, equally important, how they see themselves.Now with Extra Libris material, including a reader’s guide and bonus content.

    Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

    It could forever change how you experience and interact with your physical surroundings, open your eyes to the perversity of bad design and the desirability of good design, and raise your expectations about how things should be designed.B & W photographs and illustrations throughout.

    Your colleague's husband's sister can make you fat, even if you don't know her. A happy neighbor has more impact on your happiness than a happy spouse. These startling revelations of how much we truly influence one another are revealed in the studies of Dr. Christakis and Fowler, which have repeatedly made front-page news nationwide. In Connected, the authors explain why emotions are contagious, how health behaviors spread, why the rich get richer, even how we find and choose our partners. Intriguing and entertaining, Connected overturns the notion of the individual and provides a revolutionary paradigm-that social networks influence our ideas, emotions, health, relationships, behavior, politics, and much more. It will change the way we think about every aspect of our lives.

    Guns, which lead to so much death, work exactly as they’re designed to work. And every time we “improve” their design, they get better at killing. Facebook’s privacy settings, which have outed gay teens to their conservative parents, are working exactly as designed. Their “real names” iniative, which makes it easier for stalkers to re-find their victims, is working exactly as designed. Twitter’s toxicity and lack of civil discourse is working exactly as it’s designed to work.The world is working exactly as designed. And it’s not working very well. Which means we need to do a better job of designing it. Design is a craft with an amazing amount of power. The power to choose. The power to influence. As designers, we need to see ourselves as gatekeepers of what we are bringing into the world, and what we choose not to bring into the world. Design is a craft with responsibility. The responsibility to help create a better world for all.Design is also a craft with a lot of blood on its hands. Every cigarette ad is on us. Every gun is on us. Every ballot that a voter cannot understand is on us. Every time social network’s interface allows a stalker to find their victim, that’s on us. The monsters we unleash into the world will carry your name.This book will make you see that design is a political act. What we choose to design is a political act. Who we choose to work for is a political act. Who we choose to work with is a political act. And, most importantly, the people we’ve excluded from these decisions is the biggest (and stupidest) political act we’ve made as a society.If you’re a designer, this book might make you angry. It should make you angry. But it will also give you the tools you need to make better decisions. You will learn how to evaluate the potential benefits and harm of what you’re working on. You’ll learn how to present your concerns. You’ll learn the importance of building and working with diverse teams who can approach problems from multiple points-of-view. You’ll learn how to make a case using data and good storytelling. You’ll learn to say NO in a way that’ll make people listen. But mostly, this book will fill you with the confidence to do the job the way you always wanted to be able to do it. This book will help you understand your responsibilities.

    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

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn:to choose the best chart that fits your data;the most effective way to communicate with decision makers when you have five minutes of their time;how to chart currency fluctuations that affect global business;how to use color effectively;how to make a graphic “colorful” even if only black and white are available.The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.

    The career escalator is jammed at every level. Unemployment rates are sky-high. Creative disruption is shaking every industry. Global competition for jobs is fierce. The employer-employee pact is over, and traditional job security is a thing of the past. Here, LinkedIn cofounder and chairman Reid Hoffman and author Ben Casnocha show how to accelerate your career in today’s competitive world. The key is to manage your career as if it were a start-up business: a living, breathing, growing start-up of you. Why? Start-ups - and the entrepreneurs who run them - are nimble. They invest in themselves. They build their professional networks. They take intelligent risks. They make uncertainty and volatility work to their advantage. These are the very same skills professionals need to get ahead today. This book isn’t about cover letters or resumes. Instead, you will learn the best practices of Silicon Valley start-ups, and how to apply these entrepreneurial strategies to your career. Whether you work for a giant multinational corporation, a small local business, or are launching your own venture, you need to know how to: Adapt your career plans as you change, the people around you change, and industries change Develop a competitive advantage to win the best jobs and opportunities Strengthen your professional network by building powerful alliances and maintaining a diverse mix of relationships Find the unique breakout opportunities that massively accelerate career growth Take proactive risks to become more resilient to industry tsunamis Tap your network for information and intelligence that help you make smarter decisions A revolutionary new guide to thriving in today's fractured world of work, the strategies in this book will help you survive and thrive and achieve your boldest professional ambitions. The Start-Up of You empowers you to become the CEO of your career and take control of your future.©2012 Reid Hoffman (P)2012 Random House

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    Less inventory. The highest quality cars with the fewest defects of any competing manufacturer. In factories around the globe, Toyota consistently raises the bar for manufacturing, product development, and process excellence. The result is an amazing business success story: steadily taking market share from price-cutting competitors, earning far more profit than any other automaker, and winning the praise of business leaders worldwide.The Toyota Way reveals the management principles behind Toyota's worldwide reputation for quality and reliability. Dr. Jeffrey Liker, a renowned authority on Toyota's Lean methods, explains how you can adopt these principles--known as the "Toyota Production System" or "Lean Production"--to improve the speed of your business processes, improve product and service quality, and cut costs, no matter what your industry.Drawing on his extensive research on Toyota, Dr. Liker shares his insights into the foundational principles at work in the Toyota culture. He explains how the Toyota Production System evolved as a new paradigm of manufacturing excellence, transforming businesses across industries. You'll learn how Toyota fosters employee involvement at all levels, discover the difference between traditional process improvement and Toyota's Lean improvement, and learn why companies often think they are Lean--but aren't.