Java Data Object

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

A presentation of the formal underpinnings of object-oriented programminglanguages.

This book focuses on recent developments in representational and processing aspects of complex data-intensive applications. Until recently, information systems have been designed around different bu

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

How to use data as a tool for empowerment rather than oppression. Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and c

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Lo

The body may be the object we know the best. It is the only object from which we constantly receive a flow of information through sight and touch; and it is the only object we can experience from the

In Edge-Based Clausal Syntax, Paul Postal rejects the notion that an English phrase of the form [V + DP] invariably involves a grammatical relation properly characterized as a direct object. He argue

How Minimalism redefined the art object, featuring work by key artists and a reexamination of Minimalism by prominent art historians, critics, and scholars.

Brings together the most important contributions to the development of the theory of object-oriented programming to date, focusing in particular on how advances in type systems and semantic models can

This collection of research provides a survey of developments at the leading edge of concurrent object-oriented programming. It documents progress - from general concepts to specific descriptions - in

A wake-up call for America to create a new framework for democratizing data.Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy so

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapid

Machine learning -- programming computers to learn from data -- has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transactio

Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi

"Big Data" is on the covers of Science, Nature, the Economist, andWired magazines, on the front pages of the Wall Street Journal and theNew York Times. But despite the media hyperbol

Big Data is made up of lots of little data: numbers entered into cell phones,addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and anyother activity that leav

This definitive study uses theory, history, and data to analyze the evolution of the US brewing industry from a fragmented market to an emerging oligopoly. Drawing on a rich and extensive data set and

Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be comp

Understanding how the shape of a three dimensional object may be recovered from shading in a two-dimensional image of the object is one of the most important -- and still unresolved -- problems in mac

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can

An investigation of different uses for the architectural model through history-as sign, souvenir, funerary object, didactic tool, medium for design, and architect's muse. For more than five hundred

An original methodological framework for approaching the archived web, both as a source and as an object of study in its own right.As life continues to move online, the web becomes increasingly import

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information source

In Decoding the Social World, Sandra González-Bailón shows how algorithms, crowdsourcing, and digital traces offer methods and data that can help us solve the puzzle of unintended consequences -- a s

Key to understanding and addressing climate change is continuous and precise monitoring of environmental conditions. Satellites play an important role in collecting climate data, offering comprehensiv

If the twentieth century was tyrannized by images, then the twenty-first is ruled by data. In Technologies of Vision, Steve Anderson argues that visual culture and the methods developed to study it h

Ignorance is trending. Politicians boast, "I'm not a scientist." Angry citizens object to a proposed state motto because it is in Latin, and "This is America, not Mexico or Latin America." Lack of exp

This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based t

Hans Haacke's art articulates the interdependence of multiple elements. An artwork is not merely an object but is also its context -- the economic, social, and political

The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models th

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk a

The human brain is often described as the most complex object in the universe. Tens of billions of nerve cells-tiny tree-like structures -- make up a massive network with enormous computational power.

When two categories merge and a new syntactic object is formed, what determines which of the two merged categories transmits its properties one level up -- or, in current terminology, which of the two

Over the past twenty years, the network has come to dominate the art world, affectingnot just interaction among art professionals but the very makeup of the art object itself. Thehierarchical and rest

Today almost every aspect of life for which data exists can be rendered as a network.Financial data, social networks, biological ecologies: all are visualized in links and nodes, linesconnecting dots.

Today's Web-enabled deluge of electronic data calls for automated methods of dataanalysis. Machine learning provides these, developing methods that can automatically detect patternsin data and then us

We live in an "Information Age" of overabundant data and lightning-fasttransmission. Yet although information and knowledge represent key factors in most economicdecisions, we often forget that data,