The University of Chicago Press Computing Taste : Algorithms And The Makers Of Music Recommendation
18.71 GBP
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Meet the people who design the algorithms that capture our musical tastes. The people who make music recommender systems have lofty goals: they want to broaden listeners’ horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spotify, Apple Music, and Pandora.But for their critics, recommender systems seem to embody all the potential harms of algorithms: they flatten culture into numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends.Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver describes how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture; how scientists conceive of listening itself as a kind of data processing; and how engineers imagine the geography of the world of music as a space they care for and control. Computing Taste rehumanizes the algorithmic systems that shape our world, drawing attention to the people who build and maintain them.In this vividly theorized book, Seaver brings the thinking of programmers into conversation with the discipline of anthropology, opening up the cultural world of computation in a wide-ranging exploration that travels from cosmology to calculation, myth to machine learning, and captivation to care.
EAN: 9780226822976
Shipping Costs: 3.99 GBP
Availability: in stock
Delivery Times: 2 - 4 working days
Condition: new
Meet the people who design the algorithms that capture our musical tastes. The people who make music recommender systems have lofty goals: they want to broaden listeners’ horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spotify, Apple Music, and Pandora.But for their critics, recommender systems seem to embody all the potential harms of algorithms: they flatten culture into numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends.Drawing on years of ethnographic fieldwork, anthropologist Nick Seaver describes how the makers of music recommendation navigate these tensions: how product managers understand their relationship with the users they want to help and to capture; how scientists conceive of listening itself as a kind of data processing; and how engineers imagine the geography of the world of music as a space they care for and control. Computing Taste rehumanizes the algorithmic systems that shape our world, drawing attention to the people who build and maintain them.In this vividly theorized book, Seaver brings the thinking of programmers into conversation with the discipline of anthropology, opening up the cultural world of computation in a wide-ranging exploration that travels from cosmology to calculation, myth to machine learning, and captivation to care.
EAN: 9780226822976
Shipping Costs: 3.99 GBP
Availability: in stock
Delivery Times: 2 - 4 working days
Condition: new
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Oxford University Press Quantum Computing : Foundations And Practice
111.32 GBP
The discovery of physical systems that exhibit what we now call quantum mechanical behaviour was unquestionably one of the most astonishing events in the history of science.No less remarkable was the realisation that quantum mechanics presents a much more powerful paradigm for computation and information processing than its classical counterpart.This textbook explores the incredible, but somewhat subtle, power of quantum computation, starting with a thorough in-depth exposition of quantum physics.Quantum mechanical behaviour is formalised by the postulates of quantum mechanics, which give rise to some startling results, such as the Bell inequalities.From the postulates of quantum mechanics, the quantum circuit model can also be derived, which enables a visual intuition for quantum computation to be acquired without any loss of rigour in the accompanying analysis.Getting to the principal subject-matter of the book, the question of quantum advantage is tackled head-on, with the theoretical evidence that quantum computation does indeed offer a more powerful computation paradigm, paired with cautionary results that certain classes of circuits can be proven to enjoy no such quantum advantage.The book then presents a canon of the most important quantum algorithms and communication protocols that have been discovered in the relatively brief history of this exciting, emerging field.Starting with historically important query algorithms, 'classic' results such as Grover's and Shor's algorithm are then covered, followed by more recent breakthroughs including the quantum algorithm for solving linear systems (HHL) and the quantum singular value transformation. The final chapter of the book addresses the subject of quantum error correction, building up to the celebrated 'threshold theorem', which implies that the theoretical promises of quantum computation can one day be realised on actual quantum computers.
Oxford University Press Oxford International Computing: Oxford International Computing Teacher Guide / Cpt Bundle Levels 1-3
54.69 GBP
Teach computing with confidence, whatever your level of subject knowledge.A component of the Oxford International Primary Computing series, Teacher's Guide (levels 1-3) gives you the tools you need to grow students' digital literacy and develop their computational thinking and programming competence.Providing support at every level, this guide provides expert guidance and support for delivering compelling lessons at every level. Within each stage, key concepts are covered to give learners not only the skills they need to use technology effectively, but also the knowledge in how to do so creatively, safely and collaboratively.
Cambridge University Press Introduction To Neuromorphic Computing
50.59 GBP
Artificial intelligence is transforming industries and society, but its high energy demands challenge global sustainability goals.Biological intelligence, in contrast, offers both good performance and exceptional energy efficiency.Neuromorphic computing, a growing field inspired by the structure and function of the brain, aims to create energy-efficient algorithms and hardware by integrating insights from biology, physics, computer science, and electrical engineering.This concise and accessible book delves into the principles, mechanisms, and properties of neuromorphic systems.It opens with a primer on biological intelligence, describing learning mechanisms in both simple and complex organisms, then turns to the application of these principles and mechanisms in the development of artificial synapses and neurons, circuits, and architectures.The text also delves into neuromorphic algorithm design, and the unique challenges faced by algorithmic researchers working in this area.The book concludes with a selection of practice problems, with solutions available to instructors online.
Cambridge University Press Cloud Computing
54.28 GBP
Written in a tutorial style, this comprehensive guide follows a structured approach explaining cloud techniques, models and platforms.Popular cloud services such as Amazon, Google and Microsoft Azure are explained in the text.The security risks and challenges of cloud computing are discussed in detail with useful examples.Emerging trends including mobile cloud computing and internet of things are discussed in the book for the benefit of the readers.Numerous review questions, multiple choice exercises and case studies facilitate enhanced understanding.This textbook is ideal for undergraduate and graduate students of computer science engineering, and information technology.
Johns Hopkins University Press Transparent Designs : Personal Computing And The Politics Of User-Friendliness
38.18 GBP
This fascinating cultural history of the personal computer explains how user-friendly design allows tech companies to build systems that we cannot understand. Modern personal computers are easy to use, and their welcoming, user-friendly interfaces encourage us to see them as designed for our individual benefit.Rarely, however, do these interfaces invite us to consider how our individual uses support the broader political and economic strategies of their designers. In Transparent Designs, Michael L. Black revisits early debates from hobbyist newsletters, computing magazines, user manuals, and advertisements about how personal computers could be seen as usable and useful by the average person.Black examines how early personal computers from the Tandy TRS-80 and Commodore PET to the IBM PC and Apple Macintosh were marketed to an American public that was high on the bold promises of the computing revolution but also skeptical about their ability to participate in it.Through this careful archival study, he shows how many of the foundational principles of usability theory were shaped through disagreements over the languages and business strategies developed in response to this skepticism.In short, this book asks us to consider the consequences of a computational culture that is based on the assumption that the average person does not need to know anything about the internal operations of the computers we've come to depend on for everything. Expanding our definition of usability, Transparent Designs examines how popular and technical rhetoric shapes user expectations about what counts as usable and useful as much as or even more so than hardware and software interfaces.Offering a fresh look at the first decade of personal computing, Black highlights how the concept of usability has been leveraged historically to smooth over conflicts between the rhetoric of computing and its material experience.Readers interested in vintage computing, the history of technology, digital rhetoric, or American culture will be fascinated in this book.
Cambridge University Press 125 Problems In Text Algorithms : With Solutions
34.96 GBP
String matching is one of the oldest algorithmic techniques, yet still one of the most pervasive in computer science.The past 20 years have seen technological leaps in applications as diverse as information retrieval and compression.This copiously illustrated collection of puzzles and exercises in key areas of text algorithms and combinatorics on words offers graduate students and researchers a pleasant and direct way to learn and practice with advanced concepts.The problems are drawn from a large range of scientific publications, both classic and new.Building up from the basics, the book goes on to showcase problems in combinatorics on words (including Fibonacci or Thue-Morse words), pattern matching (including Knuth-Morris-Pratt and Boyer-Moore like algorithms), efficient text data structures (including suffix trees and suffix arrays), regularities in words (including periods and runs) and text compression (including Huffman, Lempel-Ziv and Burrows-Wheeler based methods).
Bristol University Press The Economy Of Algorithms : Ai And The Rise Of The Digital Minions
13.18 GBP
Welcome to the economy of algorithms. It’s here and it’s growing. In the past few years, we have been flooded with examples of impressive technology.Algorithms have been around for hundreds of years, but they have only recently begun to ‘escape’ our understanding.When algorithms perform certain tasks, they’re not just as good as us, they’re becoming infinitely better, and, at the same time, massively more surprising.We are so impressed by what they can do that we give them a lot of agency.But because they are so hard to comprehend, this leads to all kinds of unintended consequences. In the 20th century, things were simple: we had the economy of corporations.In the first two decades of the 21st century, we saw the emergence of the economy of people, otherwise known as the digital economy, enabled by the internet.Now we’re seeing a new economy take shape: the economy of algorithms.
Bristol University Press Parents Talking Algorithms : Navigating Datafication And Family Life In Digital Societies
25.75 GBP
In today's digital societies, parenting is shaped by algorithms daily - in search engines, social media, kids' entertainment, the news and more.But how much are parents aware of the algorithms shaping their parenting and daily lives?How can they prepare for children’s futures in a world dominated by data, algorithms, automation and AI? This groundbreaking study of 30 English families sheds light on parents’ hopes and fears, their experiences with algorithms in searching, sharing and consuming news and information, and their awareness and knowledge of algorithms at large.Looking beyond tech skills and media panics, this book is an essential read for social scientists, policy makers and general readers seeking to understand parenting in datafied societies.
Harvard University Press Automating The s : How Algorithms Are Rewriting The Media
28.78 GBP
From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated.An expert in computer science and media explains the present and future of a world in which news is created by algorithm. Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time.Yet the wide-scale automation of the news itself has largely escaped attention.In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism.Newsbots converse with social media audiences, distributing stories and receiving feedback.Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences.Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate.But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation.Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced.With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news.The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.
Cambridge University Press Algorithms For Convex Optimization
76.36 GBP
In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems.For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods.The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms.The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds.This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.
Oxford University Press Oxford International Primary Computing: Student Book 4
23.3 GBP
This complete nine-year course follows a spiral approach where students' learning builds year-on-year, with increasing complexity and depth.Through real-life contexts and project-based activities, students are equipped with vital computing skills for their future studies and beyond.There is a strong focus on programming throughout, from block-based through to text-based coding languages.Students are also introduced to future-facing concepts such as robotics, VR, AI, and machine learning.
Oxford University Press Inc Practical Computing For Biologists
111.31 GBP
Published by Sinauer Associates, an imprint of Oxford University Press. Increasingly, scientists find themselves facing exponentially larger data sets and analyses without suitable tools to deal with them.Many biologists end up using spreadsheet programs for most of their data-processing tasks and spend hours clicking around or copying and pasting, and then repeating the process for other data files. Practical Computing for Biologists shows you how to use many freely available computing tools to work more powerfully and effectively.The book was born out of the authors' own experience in developing tools for their research and helping other biologists with their computational problems.Although many of the techniques are relevant to molecular bioinformatics, the motivation for the book is much broader, focusing on topics and techniques that are applicable to a range of scientific endeavors.Twenty-two chapters organized into six parts address these topics (and more; see Contents): * Searching with regular expressions * The Unix command line * Python programming and debugging * Creating and editing graphics * Databases * Performing analyses on remote servers * Working with electronicsWhile most of the concepts and examples apply to any operating system, the main narrative focuses on Mac OS X.Where there are differences for Windows and Linux users, parallel instructions are provided in the margin and in an appendix.The book is designed to be used as a self-guided resource for researchers, a companion book in a course, or as a primary textbook.Practical Computing for Biologists will free you from the most frustrating and time-consuming aspects of data processing so you can focus on the pleasures of scientific inquiry.
Oxford University Press Oxford International Primary Computing: Student Book 1
23.3 GBP
This complete nine-year course follows a spiral approach where students' learning builds year-on-year, with increasing complexity and depth.Through real-life contexts and project-based activities, students are equipped with vital computing skills for their future studies and beyond.There is a strong focus on programming throughout, from block-based through to text-based coding languages.Students are also introduced to future-facing concepts such as robotics, VR, AI, and machine learning.