Optimization for Learning and Control Hansson Hardback Wiley–Blackwell

Optimization for Learning and ControlAuthor(s): Anders Hansson, Martin Andersen\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9781119809135, 978-1119809135\nSynopsis\nOptimization for Learning and Control Comprehensive resource providing a masters level introduction to optimization theory and algorithms for learning and control \n\nOptimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems.\n\nSeveral applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning.\n\nToday, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters level is focused on surface-level comput.