Hamse
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Multivariate Kernel Smoothing and Its Applications
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread adoption is due to its fundamental role for multivariate exploratory data analysis, as well as the crucial role it plays in composite solutions to complex data challenges. Multivariate Kernel Smoothing and Its Applications offers a comprehensive overview of both aspects. It begins with a thorough exposition of the approaches to achieve the two basic goals of estimating probability density functions and their derivatives. The focus then turns to the applications of these approaches to more complex data analysis goals, many with a geometric/topological flavour, such as level set estimation, clustering (unsupervised learning), principal curves, and feature significance. Other topics, while not direct applications of density (derivative) estimation but sharing many commonalities with the previous settings, include classification (supervised learning), nearest neighbour estimation, and deconvolution for data observed with error. For a data scientist, each chapter contains illustrative Open data examples that are analysed by the most appropriate kernel smoothing method. The emphasis is always placed on an intuitive understanding of the data provided by the accompanying statistical visualisations. For a reader wishing to investigate further the details of their underlying statistical reasoning, a graduated exposition to a unified theoretical framework is provided. The algorithms for efficient software implementation are also discussed. José E. Chacón is an associate professor at the Department of Mathematics of the Universidad de Extremadura in Spain. Tarn Duong is a Senior Data Scientist for a start-up which provides short distance carpooling services in France. Both authors have made important contributions to kernel smoothing research over the last couple of decades.
The Try
What is it that separates the doers, leaders, and success stories among us from the dreamers, also-rans, and wannabes? To bestselling author James P. Owen, it’s all about having The Try—the quality of giving 110 percent to the task or challenge at hand. In The Try—a dozen true stories of ordinary people who’ve done extraordinary things across varied fields of endeavor—Owen reveals The Try as a character trait that can be forged in several ways. Some of those profiled are driven by a childhood dream or long held ambition. Others are fueled by someone else’s belief in them, an unwavering belief in themselves, or the urge to pit themselves against daunting odds. Still others find The Try in a life-changing moment when they hit rock bottom or come face-to-face with failure. What all high achievers have in common, Owen believes, is a blend of inner drive, focus, and determination that pushes them to pursue their goals relentlessly, confronting every obstacle, and never, ever giving up. His insightful profiles bring to life new scientific evidence that effort trumps ability. Owen provides inspiration that will strike a chord with anyone who has a lofty goal, a deep personal ambition, or a major challenge to face. By connecting the dots in this collection of stories, he also delivers practical “how to” advice for those who want to cultivate The Try in themselves or those they love.
Eros and Sexuality in Islamic Art
Author: Francesca Leoni
language: en
Publisher: Ashgate Publishing, Ltd.
Release Date: 2013
Dedicated to the topic of eroticism and sexuality in the visual production of the medieval and early modern Muslim world, this volume offers new insights and methodological models that extend our understanding of erotic and sexual subjects in the Islamic tradition. The essays shed light on the diverse socio-cultural milieus of erotic images, on the motivations underlying their production, and on the responses generated by their circulation.