Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying solutions, and a glossary. Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

    From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women​, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.

    Never Split the Difference takes you inside his world of high-stakes negotiations, revealing the nine key principles that helped Voss and his colleagues succeed when it mattered the most – when people’s lives were at stake.Rooted in the real-life experiences of an intelligence professional at the top of his game, Never Split the Difference will give you the competitive edge in any discussion.

    This easy-to-understand guide answers all the questions you need to know to secure your financial future, such as: What does it mean to my paycheck when the Fed lowers or raises interest rates?What's the difference between bonds, securities, and derivatives - and which should I invest in now?What does Keynesian economics have to do with my savings? For those people whose heads spin when reading the business pages of the newspaper, here's a roadmap through the economic jungle. In simple, plain language, Peter Sander explains how economies work, why they grow, how they contract, and what the government can and can't do to help them. Most important, he tells you how all this affects "you" - and what kind of changes you're going to see in your finances as a result.Economics has been called the dismal" science. But it doesn't need to be gloomy or impenetrable. This book is an essential guide for anyone who wants to understand where the economy is today, where it's going, and what it means for the rest of us."

    Albert-László Barabási, the nation’s foremost expert in the new science of networks and author of Bursts, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos–Rényi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabási–Albert model.

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for shastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.This book is being published in two volumes. This second volume develops shastic calculus, martingales, risk-neutral pricing, exotic options and term structure models, all in continuous time.Masters level students and researchers in mathematical finance and financial engineering will find this book useful.Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

    This may seem hard to accept, but, as Harari explains in his trademark style—thorough, yet riveting—famine, plague and war have been transformed from incomprehensible and uncontrollable forces of nature into manageable challenges. For the first time ever, more people die from eating too much than from eating too little; more people die from old age than from infectious diseases; and more people commit suicide than are killed by soldiers, terrorists and criminals put together. The average American is a thousand times more likely to die from binging at McDonalds than from being blown up by Al Qaeda.What then will replace famine, plague, and war at the top of the human agenda? As the self-made gods of planet earth, what destinies will we set ourselves, and which quests will we undertake? Homo Deus explores the projects, dreams and nightmares that will shape the twenty-first century—from overcoming death to creating artificial life. It asks the fundamental questions: Where do we go from here? And how will we protect this fragile world from our own destructive powers? This is the next stage of evolution. This is Homo Deus.With the same insight and clarity that made Sapiens an international hit and a New York Times bestseller, Harari maps out our future.

    But she knew her man: a famously thoughtful and broad-minded player, he was intrigued by her pitch that she wasn't interested in making money so much as learning about life. She had faced a stretch of personal bad luck, and her reflections on the role of chance had led her to a giant of game theory, who pointed her to poker as the ultimate master class in learning to distinguish between what can be controlled and what can't. And she certainly brought something to the table, including a Ph.D. in psychology and an acclaimed and growing body of work on human behavior and how to hack it. So Seidel was in, and soon she was down the rabbit hole with him, into the wild, fiercely competitive, overwhelmingly masculine world of high-stakes Texas Hold'em, their initial end point the following year's World Series of Poker.But then something extraordinary happened. Under Seidel's guidance, Konnikova did have many epiphanies about life that derived from her new pursuit, including how to better read, not just her opponents but far more importantly herself; how to identify what tilted her into an emotional state that got in the way of good decisions; and how to get to a place where she could accept luck for what it was, and what it wasn't. But she also began to win. And win. In a little over a year, she began making earnest money from tournaments, ultimately totaling hundreds of thousands of dollars. She won a major title, got a sponsor, and got used to being on television, and to headlines like How one writer's book deal turned her into a professional poker player. She even learned to like Las Vegas.But in the end, Maria Konnikova is a writer and student of human behavior, and ultimately the point was to render her incredible journey into a container for its invaluable lessons. The biggest bluff of all, she learned, is that skill is enough. Bad cards will come our way, but keeping our focus on how we play them and not on the outcome will keep us moving through many a dark patch, until the luck once again breaks our way.

      Still in his early thirties, Chris is on the verge of completing a tour of every country on earth – he’s already visited more than 175 nations – and yet he’s never held a “real job” or earned a regular paycheck.  Rather, he has a special genius for turning ideas into income, and he uses what he earns both to support his life of adventure and to give back.    There are many others like Chris – those who’ve found ways to opt out of traditional employment and create the time and income to pursue what they find meaningful.  Sometimes, achieving that perfect blend of passion and income doesn’t depend on shelving what you currently do.  You can start small with your venture, committing little time or money, and wait to take the real plunge when you're sure it's successful.   In preparing to write this book, Chris identified 1,500 individuals who have built businesses earning $50,000 or more from a modest investment (in many cases, $100 or less), and from that group he’s chosen to focus on the 50 most intriguing case studies.  In nearly all cases, people with no special skills discovered aspects of their personal passions that could be monetized, and were able to restructure their lives in ways that gave them greater freedom and fulfillment.   Here, finally, distilled into one easy-to-use guide, are the most valuable lessons from those who’ve learned how to turn what they do into a gateway to self-fulfillment.  It’s all about finding the intersection between your “expertise” – even if you don’t consider it such -- and what other people will pay for.  You don’t need an MBA, a business plan or even employees.  All you need is a product or service that springs from what you love to do anyway, people willing to pay, and a way to get paid.   Not content to talk in generalities, Chris tells you exactly how many dollars his group of unexpected entrepreneurs required to get their projects up and running; what these individuals did in the first weeks and months to generate significant cash; some of the key mistakes they made along the way, and the crucial insights that made the business stick.  Among Chris’s key principles: if you’re good at one thing, you’re probably good at something else; never teach a man to fish – sell him the fish instead; and in the battle between planning and action, action wins.   In ancient times, people who were dissatisfied with their lives dreamed of finding magic lamps, buried treasure, or streets paved with gold.  Today, we know that it’s up to us to change our lives.  And the best part is, if we change our own life, we can help others change theirs.  This remarkable book will start you on your way.

    It is a conversational book that feels easy and informative. This short and lucid book covers everything important, with concrete examples, and invites the reader to join this field. The chapters in the book are organized for a typical one-semester course. The book contains case-lets from real-world stories at the beginning of every chapter. There is a running case study across the chapters as exercises. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others are attracted to the idea of discovering new insights and ideas from data. This book can also be gainfully used by executives, managers, analysts, professors, doctors, accountants, and other professionals to learn how to make sense of the data coming their way. This is a lucid flowing book that one can finish in one sitting, or can return to it again and again for insights and techniques. Table of Contents Chapter 1: Wholeness of Business Intelligence and Data Mining Chapter 2: Business Intelligence Concepts & Applications Chapter 3: Data Warehousing Chapter 4: Data Mining Chapter 5: Decision Trees Chapter 6: Regression Models Chapter 7: Artificial Neural Networks Chapter 8: Cluster Analysis Chapter 9: Association Rule Mining Chapter 10: Text Mining Chapter 11: Web Mining Chapter 12: Big Data Chapter 13: Data Modeling Primer Appendix: Data Mining Tutorial using Weka

    But in the advanced economies there is mounting evidence that ever-increasing consumption adds little to human happiness and may even impede it. More urgently, it is now clear that the ecosystems that sustain our economies are collapsing under the impacts of rising consumption. Unless we can radically lower the environmental impact of economic activity - and there is no evidence to suggest that we can - we will have to devise a path to prosperity that does not rely on continued growth.Economic heresy? Or an opportunity to improve the sources of well-being, creativity and lasting prosperity that lie outside the realm of the market? Tim Jackson provides a credible vision of how human society can flourish �1/2 within the ecological limits of a finite planet. Fulfilling this vision is simply the most urgent task of our times.This book is a substantially revised and updated version of Jackson's controversial study for the Sustainable Development Commission, an advisory body to the UK Government. The study rapidly became the most downloaded report in the Commission's nine year history when it was launched earlier this year.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.