in the cities, food shortages stir citizens to riots against the crown. In the wilds, new magic threatens the dominance of the tribes. and on the battlefields, even the most brilliant commanders struggle in the shadow of total war. Three lines of magic must be mastered in order to usher in a new age, and three heroes must emerge. Sarine is an artist on the streets of New Sarresant whose secret familiar helps her uncover bloodlust and madness where she expected only revolutionary fervor.Arak'Jur wields the power of beasts to keep his people safe, but his strength cannot protect them from war amongst themselves.Erris is a brilliant cavalry officer trying to defend New Sarresant from an enemy general armed with magic she barely understands. Each must learn the secrets of their power in time to guide their people through ruin. But a greater evil may be trying to stop them.

    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.

    In this book, we'll will walk you through installing, deploying, managing, and extending Docker. We're going to do that by first introducing you to the basics of Docker and its components. Then we'll start to use Docker to build containers and services to perform a variety of tasks. We're going to take you through the development life cycle, from testing to production, and see where Docker fits in and how it can make your life easier. We'll make use of Docker to build test environments for new projects, demonstrate how to integrate Docker with continuous integration workflow, and then how to build application services and platforms. Finally, we'll show you how to use Docker's API and how to extend Docker yourself. We'll teach you how to: * Install Docker. * Take your first steps with a Docker container. * Build Docker images. * Manage and share Docker images. * Run and manage more complex Docker containers. * Deploy Docker containers as part of your testing pipeline. * Build multi-container applications and environments. * Explore the Docker API. * Getting Help and Extending Docker.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Anne Purdy, author of bestselling book Tisha, tells the story surrounding the lives of the Eagle Village Indians. She describes the end of the Gold Rush era changes that took place in the early part of the twentieth century, painting a vivid picture of life’s struggles here and of a woman who reaches out to those in desperate need of love and care.A tale of joy and sadness, with a final twist.

    A quantum field theory text for the twenty-first century, this book makes the essential tool of modern theoretical physics available to any student who has completed a course on quantum mechanics and is eager to go on.Quantum field theory was invented to deal simultaneously with special relativity and quantum mechanics, the two greatest discoveries of early twentieth-century physics, but it has become increasingly important to many areas of physics. These days, physicists turn to quantum field theory to describe a multitude of phenomena.Stressing critical ideas and insights, Zee uses numerous examples to lead students to a true conceptual understanding of quantum field theory--what it means and what it can do. He covers an unusually diverse range of topics, including various contemporary developments, while guiding readers through thoughtfully designed problems. In contrast to previous texts, Zee incorporates gravity from the outset and discusses the innovative use of quantum field theory in modern condensed matter theory.Without a solid understanding of quantum field theory, no student can claim to have mastered contemporary theoretical physics. Offering a remarkably accessible conceptual introduction, this text will be widely welcomed and used.

    With this cookbook, you will find recipes for writing asynchronous, parallel, and reactive code in C# that enables your app or program to engage in more than one process at a time. Presented in O’Reilly’s popular problem-solution-discussion cookbook format, this guide provides ready-to-use code, along with an explanation of why and how the solution works.

    Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional algebras and their representations, with an appendix on categories of finite-dimensional spaces.The author begins with elementary material and goes easily into the advanced areas, covering all the standard topics of an advanced undergraduate or beginning graduate course. The material is presented in a consistently clear style. Problems are included, with a full section of hints and answers in the back.Keeping in mind the unity of algebra, geometry and analysis in his approach, and writing practically for the student who needs to learn techniques, Professor Shilov has produced one of the best expositions on the subject. Because it contains an abundance of problems and examples, the book will be useful for self-study as well as for the classroom.

    In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

    Rockefeller is held to be one of the wealthiest men who ever lived; he is also one of the most controversial figures in American history. Born of the unlikely union between a strict Baptist matriarch and her husband, a bigamist, alleged rapist, and snake-oil salesman, Rockefeller’s early childhood was spent learning how to shoulder an adult’s responsibility for his family and turn a deaf ear to the gossip that followed wherever his father went. This book contains highlights from the extraordinarily long life of a man many believed to be little better than a criminal, preying on small business owners to establish the supremacy of the Standard Oil Trust. John D. Rockefeller crushed his competitors and sparked massive public outrage against his businesses. Yet he also saved thousands of lives and helped establish respect for evidence-based medicine in the United States. From his teen years as a bookkeeper in a small commodities trading firm, to his imperial rule over the oil industry, to his early retirement and the decades he spent establishing philanthropic trusts in the fields of education and medicine, you will learn that there is no simple way to pass judgment on John D. Rockefeller’s life.

    

    It contains appox. 200 problems from various competitive examinations (GATE, IES, IAS) have been included. The author does hope that with this, the utility of the book will be further enhanced.

    When Mark makes it clear that it’s over between them, Veda is heartbroken and humiliated—but, more importantly, she’s inspired. So she sets out on the love quest of a lifetime: use the summer to forget about Mark, to move on, and move up. All she has to do is kiss twenty-six boys with twenty-six different names—one for each letter of the alphabet. From the top of the Ferris wheel at her hometown carnival to the sandy dunes of Lake Michigan, Veda takes every opportunity she can to add kisses (and boys) to her list, and soon the break-up doesn’t sting quite as much. But just when Veda thinks she has the whole kissing thing figured out, she meets someone who turns her world upside down.

    Written in a clear and accessible narrative, the 7th Edition focuses on fundamental principles and their applications to solving real circuit analysis problems, and devotes six chapters to examining electronic devices. With an eye-catching visual program and practical exercises, this book provides readers with the problem-solving experience they need in a style that makes complex material thoroughly understandable. For professionals with a career in electronics, engineering, technical sales, field service, industrial manufacturing, service shop repair, and/or technical writing.

    Readers learn how to create control systems that support today's advanced technology and apply the latest computer methods to the analysis and design of control systems. * A methodology with clearly defined steps is presented for each type of design problem. * Continuous design examples give a realistic view of each stage in the control systems design process. * A complete tutorial on using MATLAB Version 5 in designing control systems prepares readers to use this important software tool.