However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    Author Howard Love calls this pattern the  start-up J Curve: The toughest part of the endeavor is the time between the actual start of a new business and when the product and model are firmly established. The Start-Up J Curve gives entrepreneurs the tools they need to get through the early challenges so they can reach the primary value creation that lies beyond.Love brings thirty-five years of start-up experience to this comprehensive guide to starting a business. He outlines the six predictable stages of start-up growth and details the activities that should be undertaken at each stage to ensure success and to avoid common pitfalls. Instead of feeling lost and confused after a setback, start-up founders and investors can anticipate the challenges, overcome the obstacles, and ride the curve to the top.

    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.

    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

    Due to the fast-paced nature of this world, however, no one has been able to take the time to properly codify the lifeblood of the corporate financier's work--namely, valuation. Rosenbaum and Pearl have responded to this need by writing the book that they wish had existed when they were trying to break into Wall Street. Investment Banking: Valuation, Leveraged Buyouts, and Mergers & Acquisitions is a highly accessible and authoritative book that focuses on the primary valuation methodologies currently used on Wall Street--comparable companies, precedent transactions, DCF, and LBO analysis. These methodologies are used to determine valuation for public and private companies within the context of M&A transactions, LBOs, IPOs, restructurings, and investment decisions. Using a step-by-step how-to approach for each methodology, the authors build a chronological knowledge base and define key terms, financial concepts, and processes throughout the book. They also provide a comprehensive overview of the fundamentals of LBOs and an organized M&A sale process.In the aftermath of the subprime mortgage crisis and ensuing credit crunch, the world of finance is returning to the fundamentals of valuation and critical due diligence. This involves the use of more realistic assumptions governing approach to risk as well as a wide range of value drivers. While valuation has always involved a great deal of "art" in addition to time-tested "science," the artistry is perpetually evolving in accordance with market developments and conditions. In this sense, this book is particularly topical--in addition to detailing the technical fundamentals behind valuation, the authors infuse practical judgment skills and perspective to help guide the science.

    If you're working with a relational database--whether you're writing applications, performing administrative tasks, or generating reports--you need to know how to interact with your data. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may still be cases where you need to bypass the automatic generation feature and write your own SQL statements.To help you attain this fundamental SQL knowledge, look to "Learning SQL," an introductory guide to SQL, designed primarily for developers just cutting their teeth on the language."Learning SQL" moves you quickly through the basics and then on to some of the more commonly used advanced features. Among the topics discussed: The history of the computerized databaseSQL Data Statements--those used to create, manipulate, and retrieve data stored in your database; example statements include select, update, insert, and deleteSQL Schema Statements--those used to create database objects, such as tables, indexes, and constraintsHow data sets can interact with queriesThe importance of subqueriesData conversion and manipulation via SQL's built-in functionsHow conditional logic can be used in Data StatementsBest of all, "Learning SQL" talks to you in a real-world manner, discussing various platform differences that you're likely to encounter and offering a series of chapter exercises that walk you through the learning process. Whenever possible, the book sticks to the features included in the ANSI SQL standards. This means you'll be able to apply what you learn to any of several different databases; the book covers MySQL, Microsoft SQL Server, and Oracle Database, but the features and syntax should apply just as well (perhaps with some tweaking) to IBM DB2, Sybase Adaptive Server, and PostgreSQL.Put the power and flexibility of SQL to work. With "Learning SQL" you can master this important skill and know that the SQL statements you write are indeed correct.

    Gates stresses the need for managers to view technology not as overhead but as a strategic asset, and offers detailed examples from Microsoft, GM, Dell, and many other successful companies. Companion Web site.

    Yet, for every public intervention that spurs entrepreneurial activity, there are many failed efforts that waste untold billions in taxpayer dollars. When has governmental sponsorship succeeded in boosting growth, and when has it fallen terribly short? Should the government be involved in such undertakings at all? "Boulevard of Broken Dreams" is the first extensive look at the ways governments have supported entrepreneurs and venture capitalists across decades and continents. Josh Lerner, one of the foremost experts in the field, provides valuable insights into why some public initiatives work while others are hobbled by pitfalls, and he offers suggestions for how public ventures should be implemented in the future. Discussing the complex history of Silicon Valley and other pioneering centers of venture capital, Lerner uncovers the extent of government influence in prompting growth. He examines the public strategies used to advance new ventures, points to the challenges of these endeavors, and reveals the common flaws undermining far too many programs - poor design, a lack of understanding for the entrepreneurial process, and implementation problems. Lerner explains why governments cannot dictate how venture markets evolve, and why they must balance their positions as catalysts with an awareness of their limited ability to stimulate the entrepreneurial sector. As governments worldwide seek to spur economic growth in ever more aggressive ways, "Boulevard of Broken Dreams" offers an important caution. The book argues for a careful approach to government support of entrepreneurial activities, so that the mistakes of earlier efforts are not repeated.

    Along the way, rather than taking boring notes that he would never read (nor use) again, Jason created sketch notes for each class—visually capturing the essential points of his education—and providing an engaging and invaluable resource.   Once finished with his MBA, Jason launched a widely successful Kickstarter campaign distilling these same notes into a self-published book to help aspiring business leaders of all backgrounds and income levels understand the critical concepts one learns in business school.   Whether you are thinking about applying to business school, are currently in college studying business, or have always wondered what is taught in an MBA program, this highly entertaining and visual book is for you.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    In addition to general advice on basic numeracy, the guide points out common errors and explains the recognized techniques for solving financial problems, analysing information of any kind, and effective decision making. Over one hundred charts, graphs, tables, and feature boxes highlight key points. Also included is an A-Z dictionary of terms covering everything from amortization to zero-sum game. Whatever your business, The Economist Numbers Guide will prove invaluable.

    It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

    government began standardizing and regulating financial reporting in 1929 when the stock market crash made it painfully clear that businesses often made absurd claims and that investors were either gullible, unable to verify information, or both. Now, financial reports are used by a company's management to measure profitability (or lack of it), optimize operations and guide the company, by banks and other lenders to gauge the company's financial health, and by institutional or individual investors interested in purchasing stock. Unless you're financially savvy, annual reports with all those figures, frustrating footnotes, and fine print are boring and intimidating. However, once you have a fundamental knowledge of finance and its basic terminology, you can find the juicy parts. Reading Financial Reports For Dummies by Lita Epstein, a teacher of online financial courses and author of Trading for Dummies, gets you up to speed so you can:Go past the prose that can maximize the positive and minimize the negative and get information in dollars and cents Get an overview from the big three--the balance sheet, income statement, and statement of cash flows Understand the lingo and read between the lines Calculate basics like PE, Dividend Payout Ratio, ROS, ROA, ROE, Operating Margin, and Net Margin It pays for investors to be somewhat skeptical instead of gullible. Pressured to please Wall Street, companies are sometimes tempted to use "creative" accounting. You'll discover how to:Detect red flags (that, unfortunately, aren't emphasized in red) such as lawsuits, changes in accounting methods, and obligations to retirees and future retirees Understand the different reporting requirements for public companies and private companies with various types of business structures Analyze a company's cash flow, a prime indicator of its financial health Scrutinize deals such as mergers, acquisitions, liquidations and other major changes in key assets Organized so you can start where you're comfortable and proceed at your own pace, Reading Financial Reports for Dummies helps managers prepare annual reports and use financial reporting to budget more efficiently and helps investors base their decisions on knowledge instead of hype. Whether you're in business or in the stock market, knowledge is always an asset.

    His yearly gatherings of short and inventive problems were easily his most anticipated math columns. Loyal readers would savor the wit and elegance of his explorations in physics, probability, topology, and chess, among others. Grouped by subject and arrayed from easiest to hardest, the puzzles gathered here, which complement the lengthier, more involved problems in The Colossal Book of Mathematics, have been selected by Gardner for their illuminating; and often bewildering; solutions. Filled with over 300 illustrations, this new volume even contains nine new mathematical gems that Gardner, now ninety, has been gathering for the last decade. No amateur or expert math lover should be without this indispensable volume; a capstone to Gardner's seventy-year career.