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Machine Learning Course Overview by THARSINI J is a document available to read on EtoBox.

The document outlines a machine learning course that covers foundational concepts, model evaluation, Bayesian learning, and both parametric and non-parametric machine learning techniques. It includes course objectives, units of study, outcomes, and references, emphasizing the importance and applications of machine learning in real-world scenarios. Additionally, it provides a historical perspective on the evolution of machine learning and its current applications in various fields.

Author
THARSINI J
Language
EN