A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.OCLC-licensed vendor bibliographic record.
How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning netwo…
"This book explores how to achieve high performance and scalability for big data middleware and applications"--OCLC-licensed vendor bibliographic record.
"This book argues that bibliography is the foundation of information science, an infrastructure with the power to address many of the most challenging issues in the field. Bibliographers establish what has been presented to us as records of what has been known, experienced, and desired, and they are responsible for assessing and safeguarding what has arrived in the present and for reproducing w…
"A new framework for critical data studies, aligned with media and digital literacies, that situates data literacy in broader debates on citizen agency and the democratic public sphere"--OCLC-licensed vendor bibliographic record.
The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk. The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginnin…
"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, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, an…