Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    

    Stalwart brands are losing market share to upstarts that capture our collective consciousness. Trillions of dollars are at stake.   Brands know a new approach is needed. But most don’t realize the strategic underpinnings need to change. Great brands are no longer built through interruptive advertisements.   Friction  argues that brands don't simply need clever messages or new, shiny technologies. They need a fundamental change in strategy. Friction provides a system for embracing transparency, engaging audiences, creating evangelists, and unleashing unprecedented growth.   The authors of  Friction  have worked on some of the industry's most innovative assignments for the world’s most successful brands. This groundbreaking book reveals how corporations can divorce themselves from legacy business models to create a passion brand. A brand that breaks its addiction to traditional advertising. A brand that empowers its customers. A brand that dominates the competition.

    Pittsburghers joked their town was the city of champions…and the Pirates. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise's fortunes.Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the small-market Pirates played the game. For manager Clint Hurdle and the front office staff to save their jobs, they could not rely on a free agent spending spree, instead they had to improve the sum of their parts and find hidden value. They had to change. From Hurdle shedding his old-school ways to work closely with Neal Huntington, the forward-thinking data-driven GM and his team of talented analysts; to pitchers like A. J. Burnett and Gerrit Cole changing what and where they threw; to Russell Martin, the undervalued catcher whose expert use of the nearly-invisible skill of pitch framing helped the team's pitchers turn more balls into strikes; to Clint Barmes, a solid shortstop and one of the early adopters of the unconventional on-field shift which forced the entire infield to realign into positions they never stood in before. Under Hurdle's leadership, a culture of collaboration and creativity flourished as he successfully blended whiz kid analysts with graybeard coaches—a kind of symbiotic teamwork which was unique to the sport.Big Data Baseball is Moneyball on steroids. It is an entertaining and enlightening underdog story that uses the 2013 Pirates season as the perfect lens to examine the sport's burgeoning big-data movement. With the help of data-tracking systems like PitchF/X and TrackMan, the Pirates collected millions of data points on every pitch and ball in play to create a tome of color-coded reports that revealed groundbreaking insights for how to win more games without spending a dime. In the process, they discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. All these data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to spin straw in to gold, finish the 2013 season in second place, end a twenty-year losing streak.

    This course is usually the first course taught at the undergraduate level. Marketers understand that even the best products and services will go unsold if they cannot communicate the value to the customer. Understanding this value-based approach is critical for marketing students today, and is at the forefront of this text, setting it apart. This approach is emphasized throughout the text, and demonstrated through the use of the Adding Value boxes found in each chapter. Presents a concise, impactful, and easy to read approach to Principles of Marketing. The text delivers value to both instructor and student through the engaging style and online assignment and assessment options. With monthly updates provided in a newsletter and the dynamic video program, the instructor support provided will bring marketing to life in any class setting.

    The book reveals the secrets, deals, schemes and dreams of these, the world's fiercest business competitors.

    H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints--supported by research and the author's extensive experience with clients in industries all over the world--for conveying data in an impactful way. Delivered in Evergreen's humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.

    As the recent collapse on Wall Street shows, we are often ill-equipped to deal with uncertainty and risk. Yet every day we base our personal and business plans on uncertainties, whether they be next month's sales, next year's costs, or tomorrow's stock price. In The Flaw of Averages, Sam Savage-known for his creative exposition of difficult subjects- describes common avoidable mistakes in assessing risk in the face of uncertainty. Along the way, he shows why plans based on average assumptions are wrong, on average, in areas as diverse as healthcare, accounting, the War on Terror, and climate change. In his chapter on Sex and the Central Limit Theorem, he bravely grasps the literary third rail of gender differences.Instead of statistical jargon, Savage presents complex concepts in plain English. In addition, a tightly integrated web site contains numerous animations and simulations to further connect the seat of the reader's intellect to the seat of their pants.The Flaw of Averages typically results when someone plugs a single number into a spreadsheet to represent an uncertain future quantity. Savage finishes the book with a discussion of the emerging field of Probability Management, which cures this problem though a new technology that can pack thousands of numbers into a single spreadsheet cell.Praise for The Flaw of Averages"Statistical uncertainties are pervasive in decisions we make every day in business, government, and our personal lives. Sam Savage's lively and engaging book gives any interested reader the insight and the tools to deal effectively with those uncertainties. I highly recommend The Flaw of Averages." --William J. Perry, Former U.S. Secretary of Defense"Enterprise analysis under uncertainty has long been an academic ideal. . . . In this profound and entertaining book, Professor Savage shows how to make all this practical, practicable, and comprehensible." ---Harry Markowitz, Nobel Laureate in Economics

     Author James Muir shares unique insights on how ‘closing the sale’ can be done with a natural, non-pushy sales strategy that breaks the stigma often associated with professional sales. Everything has changed. The latest science shows that old, counter-productive closing tactics backfire and hold you back. In The Perfect Close you will learn a closing method that is nearly always successful (in the 95% range). It’s zero pressure and involves just two questions. It’s a clear & simple approach that is flexible enough to use on every kind of sale at every given stage. It can be learned in less than an hour and mastered in a day. It is especially helpful for new and inexperienced salespeople and professionals who dislike the “stigma” of selling or find the selling process awkward or uncomfortable. In The Perfect Close: The Secret to Closing Sales you will learn: A simple method to closing that is nearly always successful (95% range), is zero pressure & involves just two questions. How traditional closing techniques damage trust & what you can do remain on emotionally higher ground. How to close more sales in way that makes clients feel more educated, in control and see you as a facilitator & consultant. A proven and repeatable process for advancing sales that can be used in any kind of sale at any given stage. How to add continuous momentum & advance your sales in a way that results in more closed business & faster closed business. A natural way to close that doesn't require that you change your personality or become someone you're not. How to completely eliminate the stress & tension that some people feel when it comes to asking for commitments. How to add value on every sales encounter. Everything you need to know to advance every sale to closure The Perfect Close represents the best practice in closing sales today. Apply it yourself and discover how this simple technique along with being genuinely authentic creates the highest levels of success and happiness. This is more than a just a book. It's a sales training course that outlines step-by-step what you need to do to advance your sales to closure. If you are new to sales, make this the first book you read. It will teach you how to be effective immediately and will literally teach you the rest of the steps in your sales process. If you are an experienced professional looking for ways to improve your performance, this book will help take your closing skills to a whole new level. SPECIAL BONUSES! With this book you will get access to a myriad of complimentary online resources including: The Perfect Close Reference Model, The Perfect Close Mind Map, Opportunity Research Forms, Encounter Planning Forms, Sample Meeting Agendas, The 21 Closing Secrets Reference Guide, Special Reports and more. Print them out and use these resources to help you while selling or just to refresh what you've learned.

    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

    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.

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.

    But building a machine learning system requires that you make practical decisions: Should you collect more training data? Should you use end-to-end deep learning? How do you deal with your training set not matching your test set? and many more. Historically, the only way to learn how to make these "strategy" decisions has been a multi-year apprenticeship in a graduate program or company. This is a book to help you quickly gain this skill, so that you can become better at building AI systems.

    Three times the size of Generation X, they have a much bigger impact on society and business. In How Cool Brands Stay Hot, Joeri Van den Bergh and Mattias Behrer address what drives Generation Y as consumers and how marketers can develop the right brand strategies to reach this generation of 16-33 year olds.The authors' insights on what drives the consumer preferences of this new "Dot-com" generation are based on interviews with 5,000 Generation Y consumers. This new research provides understanding of the consumer psychology and behavior of the generation also known as the "Millennials." It helps marketers connect with the new generation of consumers by understanding their likes and dislikes, and guides them on advertising, marketing, and branding relevant to them.How Cool Brands Stay Hot contains guidance and checklists for marketing plans and campaigns, as well as case studies of Nokia, Nivea, PlayStation, Coca Cola, Volkswagen, Smirnoff, Red Bull, H&M, and Levi's. It offers creative and effective ideas on how to position, develop and promote brands to one of the largest and most influential generations of consumers today.Visit the website at http://www.howcoolbrandsstayhot.com/