Pattern Recognition Training in Swansea

Pattern Recognition Training in Swansea

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

Swansea- Princess House

Princess House
Princess Way
Swansea, GLA SA1 3LW
United Kingdom
Glamorgan GB
Swansea- Princess House
The Princess House Centre is located in the heart of Swansea with panoramic views over the city, Swansea Bay and the Gower area of outstanding natural beauty...Read more

Pattern Recognition Course Events - Swansea

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-02-26 09:30 £6500 / £7250
patternmatching Pattern Matching Swansea- Princess House 14 hours Thu, 2018-03-08 09:30 £2600 / £2900
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-04-30 09:30 £6500 / £7250
patternmatching Pattern Matching Swansea- Princess House 14 hours Mon, 2018-04-30 09:30 £2600 / £2900
patternmatching Pattern Matching Swansea- Princess House 14 hours Wed, 2018-06-20 09:30 £2600 / £2900
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-06-25 09:30 £6500 / £7250
patternmatching Pattern Matching Swansea- Princess House 14 hours Thu, 2018-08-09 09:30 £2600 / £2900

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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