Pattern Recognition Training in Cambridge

Pattern Recognition Training in Cambridge

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data.

Cambridge

Cambridge
Compass House Vision Park, Chivers Way, Histon
Cambridge, CAM CB24 9AD
United Kingdom
Cambridgeshire GB
Cambridge
Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides... Read more

Pattern Recognition Course Events - Cambridge

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
patternmatching Pattern Matching Cambridge 14 hours Thu, 2018-06-07 09:30 £2600 / £3050
datamodeling Pattern Recognition Cambridge 35 hours Mon, 2018-06-25 09:30 £6500 / £7625
patternmatching Pattern Matching Cambridge 14 hours Wed, 2018-08-01 09:30 £2600 / £3050
datamodeling Pattern Recognition Cambridge 35 hours Mon, 2018-08-20 09:30 £6500 / £7625
datamodeling Pattern Recognition Cambridge 35 hours Mon, 2018-10-15 09:30 £6500 / £7625
patternmatching Pattern Matching Cambridge 14 hours Tue, 2018-10-16 09:30 £2600 / £3050

Course Outlines

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
    Data analysts
    PhD students, researchers and practitioners

 

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
    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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Course Discounts

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