Null Object
Null Object

Author: Bruce Gilchrist

Publisher: Black Dog Pub Limited

Published: 2012

Total Pages: 95

ISBN-13: 9781908966124

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This book charts a project by London Fieldworks (Bruce Gilchrist and Jo Joelson) with the participation of internationally celebrated artist Gustav Metzger to create a sculptural work by linking a computer-brain interface with industrial manufacturing technology. Using bespoke software, London Fieldworks produced 3D shape information from EEG readings of Metzger’s brainwaves as he attempted to think about nothing. This data was translated into instructions for a manufacturing robot, which carved out the shapes from the interior of a block of stone to create a void space. An introduction by the artists, a text by Gustav Metzger and four contextualising essays by writers across the fields of literature, art, science and technology explore the diverse historical and conceptual grounding for and broader implications of Null Object’s production process. Exhibition: WORK Gallery, London, UK (30.11.2012-9.2.2013).

Direct Objects and Language Acquisition
Direct Objects and Language Acquisition

Author: Ana Teresa Pérez-Leroux

Publisher: Cambridge University Press

Published: 2018-02-08

Total Pages: 251

ISBN-13: 1108508634

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Direct object omission is a general occurrence, observed in varying degrees across the world's languages. The expression of verbal transitivity in small children begins with the regular use of verbs without their object, even where object omissions are illicit in the ambient language. Grounded in generative grammar and learnability theory, this book presents a comprehensive view of experimental approaches to object acquisition, and is the first to examine how children rely on the lexical, structural and pragmatic components to unravel the system. The results presented lead to the hypothesis that missing objects in child language should not be seen as a deficit but as a continuous process of knowledge integration. The book argues for a new model of how this aspect of grammar is innately represented from birth. Ideal reading for advanced students and researchers in language acquisition and syntactic theory, the book's opening and closing chapters are also suitable for non-specialist readers.

Elegant Objects
Elegant Objects

Author: Yegor Bugayenko

Publisher: Createspace Independent Publishing Platform

Published: 2017-04-18

Total Pages: 222

ISBN-13: 9781534908307

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TL;DR Compound variable names, validators, private static literals, configurable objects, inheritance, annotations, MVC, dependency injection containers, reflection, ORM and even algorithms are our enemies.

Low-Code AI
Low-Code AI

Author: Gwendolyn Stripling

Publisher: "O'Reilly Media, Inc."

Published: 2023-09-13

Total Pages: 347

ISBN-13: 1098146786

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Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish between structured and unstructured data and the challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different ML model types and architectures, from no code to low code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance

Research on Old French: The State of the Art
Research on Old French: The State of the Art

Author: Deborah L Arteaga

Publisher: Springer Science & Business Media

Published: 2012-11-02

Total Pages: 387

ISBN-13: 9400747683

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The present volume presents scholarly study into Old French as it is practiced today, in all of its forms, within a variety of theoretical frameworks, from Optimality Theory to Minimalism to Discourse Analysis. Many of the chapters are corpus-based, reflecting a new trend in the field, as more electronic corpora become available. The chapters contribute to our understanding of both the synchronic state and diachronic evolution, not only of Old French, but of language in general. Its breadth is extensive in that contributors pursue research on a wide variety of topics in Old French focusing on the various subsystems of language. All examples are carefully glossed and the relevant characteristics of Old French are clearly explained, which makes it uniquely accessible to non-specialists and linguists at all levels of training. ​

Differential Object Marking in Romance
Differential Object Marking in Romance

Author: Johannes Kabatek

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-11-22

Total Pages: 272

ISBN-13: 3110716232

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After a “first wave” of traditional studies on prepositional accusatives and a “second wave” exploring the typological dimensions of Differential Object Marking in Bossong’s footsteps, a new line of research is currently introducing new methods, deepening the level of analysis, and offering new perspectives on the issue. This volume presents 11 innovative, original contributions representative of this “third wave” of studies on DOM in Romance.

Hands on Data Science for Biologists Using Python
Hands on Data Science for Biologists Using Python

Author: Yasha Hasija

Publisher: CRC Press

Published: 2021-04-08

Total Pages: 299

ISBN-13: 1000345483

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Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

Minimal Answers
Minimal Answers

Author: Ana Lúcia Santos

Publisher: John Benjamins Publishing

Published: 2009

Total Pages: 314

ISBN-13: 9027253099

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This book offers a new contribution to the debate concerning the acquisition of the syntax-discourse interface. It provides evidence that children acquiring European Portuguese have a very early ability to spontaneously produce VP ellipsis as answers to yes-no questions. It is also argued that the distribution of VP ellipsis in European Portuguese (including its co-existence with Null Complement Anaphora) supports the hypothesis that the identification condition on ellipsis is derivable from some innate knowledge of the syntax-discourse interface. Answers to yes-no questions also provide evidence concerning children's interpretation of questions containing a cleft or the operator só 'only'. The analysis of spontaneous production is complemented by a comprehension experiment, showing that children have two problems in the interpretation of these questions: (i) they do not understand that the cleft and só introduce a presupposition and (ii) they start with a default focus assignment strategy and may not access other focus interpretations.

Python for Data Analysis
Python for Data Analysis

Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

Published: 2012-10-08

Total Pages: 466

ISBN-13: 1449323626

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Serves as an introduction to Python for data-intensive applications.