Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This collection of essays from world-renowned scholar Hans Walter Gabler contains writings from a decade and a half of retirement spent exploring textual criticism, genetic criticism, and literary criticism. In these sixteen stimulating contributions, he develops theories of textual criticism and editing that are inflected by our advance into the digital era; structurally analyses arts of composition in literature and music; and traces the cultural implications discernible in book design, and in the canonisation of works of literature and their authors. Distinctive and ambitious, these essays move beyond the concerns of the community of critics and scholars. Gabler responds innovatively to the issues involved and often endeavours to re-think their urgencies by bringing together the orthodox tenets of different schools of textual criticism. He moves between a variety of topics, ranging from fresh genetic approaches to the work of James Joyce and Virginia Woolf, to significant contributions to the theorisation of scholarly editing in the digital age. Written in Gabler's fluent style, these rich and elegant compositions are essential reading for literary and textual critics, scholarly editors, readers of James Joyce, New Modernism specialists, and all those interested in textual scholarship and digital editing under the umbrella of Digital Humanities.

Criticism, Textual. --- Textual criticism --- Editing --- Epic poetry, Greek Criticism, Textual --- Criticism, Textual --- Transmission of texts --- Literary transmission --- Manuscript transmission --- Textual transmission --- Editions --- Manuscripts --- Transmission of texts. --- digital scholarly editing --- genetic criticism --- literary criticism --- composition --- canonisation --- textual criticism --- book design --- James Joyce --- Manuscript --- Ulysses (novel) --- Virginia Woolf --- William Shakespeare

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"Image in Outline introduces the reader to Lou Andreas-Salom 's significant engagement with modern thought. Through detailed explorations of some of her major texts, Brinker-Gabler examines Andreas-Salom 's contributions to contemporary discourses on meaning, perception, memory, and the unconscious. Situating her analyses within Andreas-Salom 's historical, social, and intellectual contexts, this new reading utilizes a theoretical frame informed by thinkers such as Benjamin, Bergson, and Freud, and current theoretical perspectives by Irigaray, Grosz, and Kristeva. Brinker-Gabler argues that Andreas-Salom - committed as she was to the "double direction" of rigorous thought and individual nuancing - refocused dominant visions of gender, sexuality, culture, religion, and creativity through a female lens. In a "disenchanted world" (Weber), Andreas-Salom offered an image epistemology or "aesthetics of b(u)ilding," as Brinker-Gabler calls it, that seeks to retrieve the multilayered past embedded in individuals and cultural forms, thus providing positive accounts of sexual and cultural difference, experience, narcissism, and creativity in modern life."--Bloomsbury Publishing.

German literature --- History and criticism. --- Andreas-Salomé, Lou, --- Salomé, Lou, --- Salomé, Louise von, --- Salomé, Lou Andreas-, --- Salomé, Lou von, --- Von Salomé, Louise, --- Andréa Salomé, Lou, --- Саломе, Лу, --- Salome, Lu, --- Lou, Henri, --- Criticism and interpretation. --- Andreas-Salome, Lou,

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and more In Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, you will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R p...

R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages