Introduction

Machine learning is a branch of computer science that is concerned with developing algorithms that help "computers" learn. Pattern recognition is perhaps one of the most popular subfields of machine learning that deals with how learning algorithms can be developed to assign a proper category to input data.
Another field that is closely related to pattern recognition is Signal Processing. Signal processing deals with processing various types of signals such as audio, image and video signals. The patterns embedded in these signals can then be detected using pattern recognition and machine learning algorithms.

This wiki deals provides necessary information for researchers to better use these useful tools. For each topic, please refer to the related category below:

Machine Learning Pattern Recognition Signal Processing

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