About this document
Mathematical Models in Machine Learning by rongzhan is a document available to read on EtoBox.
This document provides an overview of the mathematical foundations of machine learning. It discusses basic concepts like learning, inductive learning and machine learning. The document outlines the main tasks, types and mathematical problems in machine learning. It also summarizes several key machine learning algorithms and models like supervised learning, unsupervised learning, reinforcement learning, support vector machines, kernel methods, neural networks, Bayesian learning and more. The document aims to
- Author
- rongzhan
- Language
- EN