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Author: Aja Gabel Publisher: Penguin ISBN: 0735214778 Category : Fiction Languages : en Pages : 354
Book Description
"Pitch-perfect." —People "You won’t be able to quit these characters." —goop The addictive novel about four young friends navigating the cutthroat world of classical music and their complex relationships with each other, as ambition, passion, and love intertwine over the course of their lives. Jana. Brit. Daniel. Henry. They would never have been friends if they hadn't needed each other. They would never have found each other except for the art which drew them together. They would never have become family without their love for the music, for each other. Brit is the second violinist, a beautiful and quiet orphan; on the viola is Henry, a prodigy who's always had it easy; the cellist is Daniel, the oldest and an angry skeptic who sleeps around; and on first violin is Jana, their flinty, resilient leader. Together, they are the Van Ness Quartet. After the group's youthful, rocky start, they experience devastating failure and wild success, heartbreak and marriage, triumph and loss, betrayal and enduring loyalty. They are always tied to each other - by career, by the intensity of their art, by the secrets they carry, by choosing each other over and over again. Following these four unforgettable characters, Aja Gabel's debut novel gives a riveting look into the high-stakes, cutthroat world of musicians, and of lives made in concert. The story of Brit and Henry and Daniel and Jana, The Ensemble is a heart-skipping portrait of ambition, friendship, and the tenderness of youth.
Author: Aja Gabel Publisher: Penguin ISBN: 0735214778 Category : Fiction Languages : en Pages : 354
Book Description
"Pitch-perfect." —People "You won’t be able to quit these characters." —goop The addictive novel about four young friends navigating the cutthroat world of classical music and their complex relationships with each other, as ambition, passion, and love intertwine over the course of their lives. Jana. Brit. Daniel. Henry. They would never have been friends if they hadn't needed each other. They would never have found each other except for the art which drew them together. They would never have become family without their love for the music, for each other. Brit is the second violinist, a beautiful and quiet orphan; on the viola is Henry, a prodigy who's always had it easy; the cellist is Daniel, the oldest and an angry skeptic who sleeps around; and on first violin is Jana, their flinty, resilient leader. Together, they are the Van Ness Quartet. After the group's youthful, rocky start, they experience devastating failure and wild success, heartbreak and marriage, triumph and loss, betrayal and enduring loyalty. They are always tied to each other - by career, by the intensity of their art, by the secrets they carry, by choosing each other over and over again. Following these four unforgettable characters, Aja Gabel's debut novel gives a riveting look into the high-stakes, cutthroat world of musicians, and of lives made in concert. The story of Brit and Henry and Daniel and Jana, The Ensemble is a heart-skipping portrait of ambition, friendship, and the tenderness of youth.
Author: P. Palaveev Publisher: John Wiley & Sons ISBN: 1118209540 Category : Business & Economics Languages : en Pages : 247
Book Description
A detailed road map for wealth managers who want to build an ensemble firm or team and achieve sustained growth, profitability and high valuations Why do ten percent of wealth management firms grow faster than the rest of the industry, often despite the turbulence of the markets? The answer, according to industry consultant and researcher, P. Palaveev, is that the most successful firms are those which, create and promote a team-based service model that serves as the foundation of their enterprise. Find out how and why a team-based service model can play a decisive role in the future growth and sustained success of your wealth management firm Discover the key factors for building a successful ensemble firm and profit from the best practices top team-based firms employ Profit from the author's years of experience working with the world's top wealth management firms and the data he has compiled as a pre-eminent industry researcher Learn about the various organizational structures, partnership models and career path options and how to put them to work building an ensemble practice Get the lowdown on how the savviest traditional broker-dealer firms have formed dynamic ensemble teams within their organizations and learn of the results they've achieved
Author: John O'Reilly Publisher: Alfred Music ISBN: 9781457415807 Category : Music Languages : en Pages : 28
Book Description
Accent on Ensembles is an exciting book of duets, trios and quartets for flexible instrumentation that correlates with Accent on Achievement, Book 1. Use these ensembles to develop confidence in young players and as a valuable resource for music during contest season. Since the instrumentation is flexible, any combination of instruments can play together. Accent on Ensembles, Book 2 is an exciting book of duets, trios and quartets for flexible instrumentation that correlates with Accent on Achievement, Book 2.
Author: Gautam Kunapuli Publisher: Simon and Schuster ISBN: 163835670X Category : Computers Languages : en Pages : 350
Book Description
Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly accurate. Inside Ensemble Methods for Machine Learning you will find: Methods for classification, regression, and recommendations Sophisticated off-the-shelf ensemble implementations Random forests, boosting, and gradient boosting Feature engineering and ensemble diversity Interpretability and explainability for ensemble methods Ensemble machine learning trains a diverse group of machine learning models to work together, aggregating their output to deliver richer results than a single model. Now in Ensemble Methods for Machine Learning you’ll discover core ensemble methods that have proven records in both data science competitions and real-world applications. Hands-on case studies show you how each algorithm works in production. By the time you're done, you'll know the benefits, limitations, and practical methods of applying ensemble machine learning to real-world data, and be ready to build more explainable ML systems. About the Technology Automatically compare, contrast, and blend the output from multiple models to squeeze the best results from your data. Ensemble machine learning applies a “wisdom of crowds” method that dodges the inaccuracies and limitations of a single model. By basing responses on multiple perspectives, this innovative approach can deliver robust predictions even without massive datasets. About the Book Ensemble Methods for Machine Learning teaches you practical techniques for applying multiple ML approaches simultaneously. Each chapter contains a unique case study that demonstrates a fully functional ensemble method, with examples including medical diagnosis, sentiment analysis, handwriting classification, and more. There’s no complex math or theory—you’ll learn in a visuals-first manner, with ample code for easy experimentation! What’s Inside Bagging, boosting, and gradient boosting Methods for classification, regression, and retrieval Interpretability and explainability for ensemble methods Feature engineering and ensemble diversity About the Reader For Python programmers with machine learning experience. About the Author Gautam Kunapuli has over 15 years of experience in academia and the machine learning industry. Table of Contents PART 1 - THE BASICS OF ENSEMBLES 1 Ensemble methods: Hype or hallelujah? PART 2 - ESSENTIAL ENSEMBLE METHODS 2 Homogeneous parallel ensembles: Bagging and random forests 3 Heterogeneous parallel ensembles: Combining strong learners 4 Sequential ensembles: Adaptive boosting 5 Sequential ensembles: Gradient boosting 6 Sequential ensembles: Newton boosting PART 3 - ENSEMBLES IN THE WILD: ADAPTING ENSEMBLE METHODS TO YOUR DATA 7 Learning with continuous and count labels 8 Learning with categorical features 9 Explaining your ensembles
Author: Zhi-Hua Zhou Publisher: CRC Press ISBN: 1439830037 Category : Business & Economics Languages : en Pages : 238
Book Description
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Author: Amy Leach Publisher: Farrar, Straus and Giroux ISBN: 0374722196 Category : Nature Languages : en Pages : 120
Book Description
In short, gloriously inventive essays, Whiting Award-winning author Amy Leach's The Everybody Ensemble invites us to see and celebrate our oddball, interconnected world Humans, please turn your guns into kazoos. Are you feeling dismay, despair, disillusion? Need a break from the ho-hum, the hopeless, and the hurtful? Feel certain that there’s a version of our world that doesn’t break down into tiny categories of alliance but brings everybody together into one clattering, sometimes discordant but always welcoming chorus of glorious pandemonium? Amy Leach, the celebrated author of the transcendent Things That Are, invites you into The Everybody Ensemble, an effervescent tonic of a book. These short, wildly inventive essays are filled with praise songs, poetry, ingenious critique, soul-lifting philosophy, music theory, and whimsical but scientific trips into nature. Here, you will meet platypuses, Tycho Brahe and his moose, barnacle goslings, medieval mystics, photosynthetic bacteria, and a wholly fresh representation of the biblical Job. Equal parts call to reason and to joy, this book is an irrepressible celebration of our oddball, interconnected world. The Everybody Ensemble delivers unexpected wisdom and a wake-up call that sounds from within. For readers of Ross Gay, Eula Biss, Anne Lamott, Annie Dillard, Ralph Waldo Emerson, and even Lewis Carroll, these twenty-four essays will be a perfect match.
Author: Rose Burnett Bonczek Publisher: Routledge ISBN: 0415530083 Category : Medical Languages : en Pages : 242
Book Description
Ensemble Theatre Making: A Practical Guide is the first comprehensive diagnostic handbook for building, caring for and maintaining ensemble. Successful ensembles don't happen by chance: they can be created, nurtured and maintained through specific actions taken by ensemble leaders and members. Ensemble Theatre Making provides a thorough step-by-step process to consistently achieve the collaborative dynamic that leads to the group trust, commitment and sacrifice necessary for the success of a common goal.
Author: Giovanni Seni Publisher: Morgan & Claypool Publishers ISBN: 1608452840 Category : Computers Languages : en Pages : 127
Book Description
"Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems -- where predictive accuracy is more vital than model interpretability. Ensembles are useful with all modeling algorithms, but this book focuses on decision trees to explain them most clearly. After describing trees and their strengths and weaknesses, the authors provide an overview of regularization -- today understood to be a key reason for the superior performance of modern ensembling algorithms. The book continues with a clear description of two recent developments: Importance Sampling (IS) and Rule Ensembles (RE). IS reveals classic ensemble methods -- bagging, random forests, and boosting -- to be special cases of a single algorithm, thereby showing how to improve their accuracy and speed. REs are linear rule models derived from decision tree ensembles. They are the most interpretable version of ensembles, which is essential to applications such as credit scoring and fault diagnosis. Lastly, the authors explain the paradox of how ensembles achieve greater accuracy on new data despite their (apparently much greater) complexity."--Publisher's website.
Author: Stéphane Vannitsem Publisher: Elsevier ISBN: 012812248X Category : Science Languages : en Pages : 364
Book Description
Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. - Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place - Provides real-world examples of methods used to formulate forecasts - Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner
Author: James Casella Publisher: ISBN: 9780976434429 Category : Languages : en Pages : 225
Book Description
Through the past twenty years or so, the "pit," or "front ensemble," has grown to be an integral part of the modern drum corps and marching band activities. This evolution has brought us into a new realm in the world of percussion education and performance, merging outdoor playing styles with indoor playing styles. "Up Front" explores the numerous details of a successful front ensemble. Topics included are: equipment, instrument ranges, transporting, instrument care, technique, exercises, teaching techniques, arranging, and much, much more. At a whopping 225 pages thick, this resource is sure to provide years of insight. It is meant to be an all-encompassing guide for pit members and educators of all experience levels. Jim Casella and Jim Ancona have instructed and arranged for some of drum corps' most musical and innovative percussion ensembles. Now they have combined their "pit knowledge" into one complete resource. "Up Front" explores every unique aspect of today's front ensemble, from technique and musicianship to arranging and instructing.
Author: Aja Gabel
Author: Aja Gabel
Author: P. Palaveev
Author: John O'Reilly
Author: Gautam Kunapuli
Author: Zhi-Hua Zhou
Author: Amy Leach
Author: Rose Burnett Bonczek
Author: Giovanni Seni
Author: Stéphane Vannitsem
Author: James Casella