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.OCLC-licensed vendor bibliographic record.
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from hug…
"Today, in the age of CCTV, drones, medical body scans, and satellite images, photography is increasingly decoupled from human agency and human vision. In Nonhuman Photography, Joanna Zylinska offers a new philosophy of photography, going beyond the human-centric view to consider imaging practices from which the human is absent. Zylinska argues further that even those images produced by humans,…
Contemporary computing technologies have thoroughly embedded themselves in every aspect of modern life -- conducting commerce, maintaining and extending our networks of friends, and mobilizing political movements all occur through a growing collection of devices and services designed to keep and hold our attention. Yet what happens when our attention needs to be more local, collective, and focu…
The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. …
"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--OCLC-licensed vendor bibliographic record.
"This book examines artistic practices that use machine learning and computational technologies through historical perspectives surrounding adaptive systems from the 1950s onwards"--OCLC-licensed vendor bibliographic record.
"This book sets the agenda for how we think about human activity that arises from embedding manipulated information in our action and embodied cognition"--OCLC-licensed vendor bibliographic record.
OCLC-licensed vendor bibliographic record.
"Mark Lee considers that the current gains in machine learning and deep learning will not produce robots that can interact effectively with humans. The book then explores how robots can become more human-like, more general-purpose, and more social. The book introduces us to the core ideas in Developmental Robotics - showing how this new approach can "grow" robots through (their own) experience …