CS428a Pattern Recognition and Machine Learning Spring 2019

Semester: 
Spring

This course is an introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds. Fundamental concepts of supervised and unsupervised learning are presented. More topics, such as mathematical background, statistical background and image processing are addressed in the course introduction.

References:

https://link.springer.com/book/10.1007%2F978-1-4614-5323-9

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