Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
High-Dimensional Statistics
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
Graphical Models, Exponential Families, and Variational Inference
The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.
Statistical Learning with Sparsity
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl
High-Dimensional Statistics
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.
Stories I Might Regret Telling You
A singer-songwriter's heartfelt memoir about growing up in a bohemian musical family and her experiences with love, loss, motherhood, divorce, the music industry, and more. Born into music royalty, the daughter of folk legends Kate McGarrigle and Loudon Wainwright III and sister to the highly-acclaimed and genre-defying singer Rufus Wainwright, Martha grew up in a world filled with such incomparable folk legends as Leonard Cohen; Suzy Roche, Anna McGarrigle, Richard and Linda Thompson, Pete Townsend, Donald Fagan and Emmylou Harris. It was within this loud, boisterous, carny, musical milieu that Martha came of age, struggling to find her voice until she exploded on the scene with her 2005 de...
Reason and the Heart
Between the opposing claims of reason and religious subjectivity may be a middle ground, William J. Wainwright argues. His book is a philosophical reflection on the role of emotion in guiding reason. There is evidence, he contends, that reason functions properly only when informed by a rightly disposed heart.The idea of passional reason, so rarely discussed today, once dominated religious reflection, and Wainwright pursues it through the writings of three of its past proponents: Jonathan Edwards, John Henry Newman, and William James. He focuses on Edwards, whose work typifies the Christian perspective on religious reasoning and the heart. Then, in his discussion of Newman and James, Wainwright shows how the emotions participate in non-religious reasoning. Finally he takes up the challenges most often posed to notions of passional reason: that such views justify irrationality and wishful thinking, that they can't be defended without circularity, and that they lead to relativism. His response to these charges culminates in an eloquent and persuasive defense of the claim that reason functions best when influenced by the appropriate emotions, feelings, and intuitions.
Advances in Neural Information Processing Systems 16
Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.
High-Dimensional Probability
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Virtual History
Virtual History examines many of the most popular historical video games released over the last decade and explores their portrayal of history. The book looks at the motives and perspectives of game designers and marketers, as well as the societal expectations addressed, through contingency and determinism, economics, the environment, culture, ethnicity, gender, and violence. Approaching videogames as a compelling art form that can simultaneously inform and mislead, the book considers the historical accuracy of videogames, while also exploring how they depict the underlying processes of history and highlighting their strengths as tools for understanding history. The first survey of the historical content and approach of popular videogames designed with students in mind, it argues that games can depict history and engage players with it in a useful way, encouraging the reader to consider the games they play from a different perspective. Supported by examples and screenshots that contextualize the discussion, Virtual History is a useful resource for students of media and world history as well as those focusing on the portrayal of history through the medium of videogames.
Bandit Algorithms
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
