Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    But invention, in all art, is closely allied to technique, and technique can be taught. This book, therefore, which differs from most other texts on the subject because of its tremendous wealth of musical examples and its systematic arrangement of material according to each constituent of the orchestra, will undoubtedly be of value to any music student. It is a music classic, perhaps the only book on classical orchestration written by a major composer.In it, the composer aims to provide the reader with the fundamental principles of modern orchestration from the standpoint of brilliance and imagination, and he devotes considerable space to the study of tonal resonance and orchestral combination. In his course, he demonstrates such things as how to produce a good-sounding chord of certain tone-quality, uniformly distributed; how to detach a melody from its harmonic setting; correct progression of parts; and other similar problems.The first chapter is a general review of orchestral groups, with an instrument-by-instrument breakdown and material on such technical questions as fingering, range, emission of sound, etc. There follows two chapters on melody and harmony in strings, winds, brasses, and combined groups. Chapter IV, Composition of the Orchestra, covers different ways of orchestrating the same music; effects that can be achieved with full tutti; tutti in winds, tutti pizzicato, soli in the strings, etc.; chords; progressions; and so on. The last two chapters deal with opera and include discussion of solo and choral accompaniment, instruments on stage or in the wings, technical terms, soloists (range, register, vocalization, vowels, etc.), voices in combination, and choral singing. Immediately following this text are some 330 pages of musical examples drawn from "Sheherazade," the "Antar Symphony," "Capriccio Espagnol," "Sadko," "Ivan the Terrible," "Le Coq d'Or," "Mlada," "The Tsar's Bride," and others of Rimsky-Korsakov's works. These excerpts are all referred to in the text itself, where they illustrate, far better than words, particular points of theory and actual musical practice. They are largely responsible for making this book the very special (and very useful) publication it is.This single-volume edition also includes a brief preface by the editor and extracts from Rimsky-Korsakov's 1891 draft and final versions of his own preface, as well as an appendixed chart of single tutti chords in the composer's works.

    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

    This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Authors Lora Delwiche and Susan Slaughter have revised the text to include concepts of the Output Delivery System; the STYLE= option in the PRINT, REPORT, and TABULATE procedures; ODS HTML, RTF, PRINTER, and OUTPUT destinations; PROC REPORT; more on PROC TABULATE; exporting data; and the colon modifier for informats. You'll find clear and concise explanations of basic SAS concepts (such as DATA and PROC steps), inputting data, modifying and combining data sets, summarizing and presenting data, basic statistical procedures, and debugging SAS programs. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see it work!

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Veteran songwriter Pat Pattison has taught many of Berklee College of Music's best and brightest students how to write truly great lyrics. His helpful guide contains essential information on lyric structures, timing and placement, and exercises to help everyone from beginners to seasoned songwriters say things more effectively and gain a better understanding of their craft. Features examples of famous songs for study, including: Be Still My Beating Heart * Can't Fight This Feeling * It Was a Very Good Year * Tickle Me * and more.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    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.

    But as the field evolves, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In "Designing with the Mind in Mind," Jeff Johnson, author of the best selling "GUI Bloopers," provides designers with just enough background in perceptual and cognitive psychology that UI design guidelines make intuitive sense rather than being just a list of rules to follow. * The first practical, all-in-one source for practitioners on user interface design rules and why, when and how to apply them.* Provides just enough background into the reasoning behind interface design rules that practitioners can make informed decisions in every project.* Gives practitioners the insight they need to make educated design decisions when confronted with tradeoffs, including competing design rules, time constrictions, or limited resources.

    Spanning the Middle Ages through the twenty-first century, the text offers a thorough introduction to the elements of music, a broad overview of the history of musical styles, and fascinating cultural contexts and perspectives. The Ninth Edition of this classic text features a stunning new design, exciting new repertory, and an unmatched ancillary and media package.

    It should be labelled 'start here'." --Pieter Jan Stappers, ID-StudioLab, Delft University of Technology

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    While paintings of Picasso and Jackson Pollock sell for a hundred million dollars or more, and lines from T. S. Eliot are quoted on the yearbook pages of alienated teenagers across the land, twentieth-century classical music still sends ripples of unease through audiences. At the same time, its influence can be felt everywhere. Atonal chords crop up in jazz. Avant-garde sounds populate the soundtracks of Hollywood thrillers. Minimalism has had a huge effect on rock, pop, and dance music from the Velvet Underground onward.The Rest Is Noise shows why twentieth-century composers felt compelled to create a famously bewildering variety of sounds, from the purest beauty to the purest noise. It tells of a remarkable array of maverick personalities who resisted the cult of the classical past, struggled against the indifference of a wide public, and defied the will of dictators. Whether they have charmed audiences with sweet sounds or battered them with dissonance, composers have always been exuberantly of the present, defying the stereotype of classical music as a dying art. The narrative goes from Vienna before the First World War to Paris in the twenties, from Hitler's Germany and Stalin's Russia to downtown New York in the sixties and seventies. We follow the rise of mass culture and mass politics, of dramatic new technologies, of hot and cold wars, of experiments, revolutions, riots, and friendships forged and broken. The end result is not so much a history of twentieth-century music as a history of the twentieth century through its music.

    There has been a marked increase in the adoption of PHP, most notably in the beginning to intermediate levels. PHP now boasts over 30% of the server side scripting market (Source: php.weblogs.com).The previous edition sold over 17,000 copies exclusively through Sitepoint.com alone. With the release of PHP 5, SitePoint have updated this bestseller to reflect best practice web development using PHP 5 and MySQL 4.The 3rd Edition includes more code examples and also a new bonus chapter on structured PHP Programming which introduces techniques for organizing real world PHP applications to avoid code duplication and ensure code is manageable and maintainable. The chapter introduces features like include files, user-defined function libraries and constants, which are combined to produce a fully functional access control system suitable for use on any PHP Website.

    The author aims to make these complicated musical advances both clear to the layman and interesting, as well as offering a sense of culture of trial and error and competition, be it in 11th century Italy or 19th century America, in which all progress takes place.