Introduction to Online Convex Optimization second edition is popular PDF and ePub book, written by Elad Hazan in 2022-09-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Introduction to Online Convex Optimization second edition can be Read Online from any device for your convenience.
Introduction to Online Convex Optimization second edition Book PDF Summary
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process. In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features: Thoroughly updated material throughout New chapters on boosting, adaptive regret, and approachability and expanded exposition on optimization Examples of applications, including prediction from expert advice, portfolio selection, matrix completion and recommendation systems, SVM training, offered throughout Exercises that guide students in completing parts of proofs
Detail Book of Introduction to Online Convex Optimization second edition PDF
- Author : Elad Hazan
- Release : 06 September 2022
- Publisher : MIT Press
- ISBN : 9780262370127
- Genre : Computers
- Total Page : 249 pages
- Language : English
- PDF File Size : 20,7 Mb
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