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Artificial Intelligence Course Syllabus by rishuraijaishreeram is a document available to read on EtoBox.

This syllabus outlines a detailed machine learning course taught over 5 units and spanning 8 lectures each. The units cover topics such as linear and logistic regression, Bayesian learning, support vector machines, decision trees, instance-based learning, artificial neural networks, deep learning, reinforcement learning, and genetic algorithms. The course provides an introduction to different machine learning approaches and their applications in areas like computer vision, natural language processing, and r

Author

rishuraijaishreeram

Language

EN