Online or onsite, instructor-led live Pattern Recognition training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Pattern Recognition.
Pattern Recognition training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Pattern Recognition training can be carried out locally on customer premises in Milan or in NobleProg corporate training centers in Milan.
NobleProg -- Your Local Training Provider
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This instructor-led, live training in Milan (online or onsite) 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.
By the end of this training, participants will be able to:
Apply core statistical methods to pattern recognition.
Use key models like neural networks and kernel methods for data analysis.
Implement advanced techniques for complex problem-solving.
Improve prediction accuracy by combining different models.
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.
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.
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