Advanced Supervised and Semi-supervised by Massih-Reza Amini (.ePUB)+

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File Size: 28.6 MB

Advanced Supervised and Semi-supervised Learning: Theory and Algorithms by Massih-Reza Amini
Requirements: .ePUB, .PDF reader, 28.6 MB
Overview: Machine Learning is one of the leading areas of Artificial Intelligence (AI). It concerns the study and development of quantitative models that enable a computer to carry out operations without having been expressly programmed to do so. In this situation, learning is about identifying complex shapes and making intelligent decisions. The challenge in completing this task, given all the available inputs, is that the set of potential decisions is typically quite difficult to enumerate. Machine learning algorithms have been developed with the goal of learning about the problem to be handled based on a collection of limited data from this problem in order to get around this challenge. This textbook presents the scientific foundations of supervised learning theory, the most widespread algorithms developed according to this framework, as well as the semi-supervised and the learning-to-rank frameworks, at a level accessible to master’s students.
Genre: Non-Fiction > Tech & Devices

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