Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data.
| Code | Name | Duration | Outline |
|---|---|---|---|
| datamodeling | Pattern Recognition | 35 hours |
This course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired. Audience
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| patternmatching | Pattern Matching | 14 hours |
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not. Audience Format of the course |