Local, 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 "onsite live training" or "remote live training". Onsite live Pattern Recognition trainings in Leicester can be carried out locally on customer premises or in NobleProg corporate training centres. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Learn Pattern Recognition in our training center in Leicester. A short walk from Leicester railway station, this centrally located business centre enjoys a superb position among a mix of businesses.
The refurbished building is 10 minutes from the National Space Centre and includes smart modern workspace, meeting rooms and a top-floor terrace overlooking the city.
L M ERICSSON LIMITED
Course: Machine Learning
the lab exercises
Marcell Lorant - L M ERICSSON LIMITED
Course: Machine Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Course: Python for Advanced Machine Learning
All like it
Course: Machine Learning Fundamentals with Python
The trainer very easily explained difficult and advanced topics.
Course: Artificial Intelligence Overview
way of conducting and example given by the trainer
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 Data analysts PhD students, researchers and practitioners
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 Engineers and developers seeking to develop machine vision applications Manufacturing engineers, technicians and managers
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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