Can I read Mid-Sem Syllabus for Machine Learning on EtoBox?

Mid-Sem Syllabus for Machine Learning by 39 Suyash Tyagi is a document available to read on EtoBox.

What is Mid-Sem Syllabus for Machine Learning about?

The document outlines the mid semester syllabus for a machine learning course. It lists 19 topics that will be covered including basics of machine learning, types of machine learning models, decision trees, classification and regression, support vector machines, k-nearest neighbors, naive bayes, clustering, artificial neural networks, dimensionality reduction, principal component analysis, ensemble learning methods, tools for machine learning, and activation functions.

Author

39 Suyash Tyagi

Language

EN