Pattern Recognition Training in Bristol

Pattern Recognition Training in Bristol

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

Bristol, Temple Gate

Citypoint
Temple Gate
Bristol, BST BS1 6PL
United Kingdom
Bristol GB
Bristol, Temple Gate
The training rooms are located under a 2 minute walk from Bristol Temple Meads Railway station. From the main exit at Temple Meads Railway Station City Point is directly in front (approx 200 metres). On arrival in main reception a receptionist will direct you to the correct training room. If... Read more

Pattern Recognition Course Events - Bristol

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-06-11 09:30 £6500 / £7750
patternmatching Pattern Matching Bristol, Temple Gate 14 hours Wed, 2018-07-04 09:30 £2600 / £3100
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-08-06 09:30 £6500 / £7750
patternmatching Pattern Matching Bristol, Temple Gate 14 hours Thu, 2018-09-06 09:30 £2600 / £3100
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-10-15 09:30 £6500 / £7750
patternmatching Pattern Matching Bristol, Temple Gate 14 hours Mon, 2018-11-05 09:30 £2600 / £3100

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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