About this document
Machine Learning Unit 1 Overview by lananthi21 is a document available to read on EtoBox.
The document outlines key concepts in machine learning, distinguishing between AI, ML, and Big Data, as well as supervised vs unsupervised learning. It also explains parametric vs non-parametric models and classification vs regression, along with common algorithms like Linear Regression, Logistic Regression, Naive Bayes, KNN, and SVM. Additionally, it includes a quick revision section summarizing these topics.
- Author
- lananthi21
- Language
- EN