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SSRN 6016858 by veerabhadrappa algur is a document available to read on EtoBox.

What is SSRN 6016858 about?

This research paper explores the mathematical foundations of various machine learning (ML) approaches, including supervised, unsupervised, reinforcement, and semi-supervised learning. It highlights key algorithms such as Support Vector Machine, Principal Component Analysis, Q-learning, and Self-training, examining their mathematical constructs and theoretical implications. The study aims to bridge the gap between theoretical concepts and practical implementations in ML, emphasizing the importance of mathema

Author

veerabhadrappa algur

Language

EN