Pattern Recognition Training in Swindon
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 training can be carried out locally on customer premises in Swindon or in NobleProg corporate training centers in Swindon. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider
Located on the western side of Swindon and located only 300yds from junction 16 of the M4 providing easy access to both the south west and south east.
By train London Paddington is only 1 hour away and Bristol temple meads 45 minutes from Swindon’s mainline station.
Pattern Recognition Course Events - Swindon
|Code||Name||Venue||Duration||Course Date||Course Price [Remote / Classroom]|
|patternmatching||Pattern Matching||Swindon||14 hours||Thu, 2018-07-19 09:30||£2600 / £2950|
|datamodeling||Pattern Recognition||Swindon||35 hours||Mon, 2018-09-03 09:30||£6500 / £7375|
|patternmatching||Pattern Matching||Swindon||14 hours||Tue, 2018-09-25 09:30||£2600 / £2950|
|datamodeling||Pattern Recognition||Swindon||35 hours||Mon, 2018-10-29 09:30||£6500 / £7375|
|patternmatching||Pattern Matching||Swindon||14 hours||Mon, 2018-11-19 09:30||£2600 / £2950|
|datamodeling||Pattern Recognition||Swindon||35 hours||Mon, 2018-12-31 09:30||£6500 / £7375|
|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.
|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.
Format of the course