Location:Training / Machine Learning/Algorithm / Introduction to Machine Learning / Fisher discriminant analysis

The goal of machine learning is to program a computer to solve a given problem using sample data or past experience. There have been many successful applications of machine learning, including analyzing past sales data to predict customer behavior, face recognition or speech recognition, optimizing robot behavior to use the least amount of resources to complete a task, and various systems for extracting knowledge from biometric data. . In order to provide a unified discussion on machine learning problem solving, "Introduction to Machine Learning" discusses machine learning in statistics, pattern recognition, and neural networks. Applications in different fields such as artificial intelligence, signal processing, control and data mining.