機器學習應用概論

• Course Overview

This course is an introductory course designed to introduce major machine learning algorithms, providing an overview of the various approaches. The course content covers basic machine learning concepts and their use of algorithms. This course will include a practical project, with the expectation of applying the theory learned. Course topics include:

• Linear regression

• PCA and PCR

• Overfitting

• Support vector machine

• Decision tree

• Artificial neural network

• K-mean

• KNN

• Linear discriminant analysis and general discriminant analysis

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