Online Pattern Recognition Training in US Empire

This instructor-led, live training in US Empire (online or onsite) provides an introduction to 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 for government.

By the end of this training, participants will be able to:

• Apply core statistical methods to pattern recognition for government use.
• Use key models like neural networks and kernel methods for data analysis in public sector contexts.
• Implement advanced techniques for complex problem-solving within government workflows.
• Improve prediction accuracy by combining different models, enhancing governance and accountability.

Pattern Matching is a technique utilized to identify specified patterns within an image. It can be employed to determine the presence of specific characteristics within a captured image, such as the expected label on a defective product in a factory line or the precise dimensions of a component. This differs from "Pattern Recognition," which identifies general patterns based on larger collections of related samples, as Pattern Matching specifically defines what is being sought and confirms whether the expected pattern exists or not.

Format of the Course

• This course introduces the approaches, technologies, and algorithms used in the field of pattern matching as it applies to Machine Vision for government applications.