Pattern Recognition Training in Aberdeen

Pattern Recognition Training in Aberdeen

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

Aberdeen - Berry Street

Regus Aberdeen Berry Street
1 Berry Street
Aberdeen AB25 1HF
United Kingdom
GB
Aberdeen - Berry Street
The Berry Street Centre occupies a three-storey 1950s building, which has recently been refurbished to a high specification. It is in a prominent and...Read more

Pattern Recognition Course Events - Aberdeen

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
patternmatching Pattern Matching Aberdeen - Berry Street 14 hours Wed, 2018-02-14 09:30 £2600 / £3260
datamodeling Pattern Recognition Aberdeen - Berry Street 35 hours Mon, 2018-02-26 09:30 £6500 / £8150
patternmatching Pattern Matching Aberdeen - Berry Street 14 hours Thu, 2018-04-05 09:30 £2600 / £3260
datamodeling Pattern Recognition Aberdeen - Berry Street 35 hours Mon, 2018-04-23 09:30 £6500 / £8150
patternmatching Pattern Matching Aberdeen - Berry Street 14 hours Wed, 2018-05-30 09:30 £2600 / £3260
datamodeling Pattern Recognition Aberdeen - Berry Street 35 hours Mon, 2018-06-25 09:30 £6500 / £8150
patternmatching Pattern Matching Aberdeen - Berry Street 14 hours Thu, 2018-07-19 09:30 £2600 / £3260

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

 

Introduction

Probability theory, model selection, decision and information theory

Probability distributions

Linear models for regression and classification

Neural networks

Kernel methods

Sparse kernel machines

Graphical models

Mixture models and EM

Approximate inference

Sampling methods

Continuous latent variables

Sequential data

Combining models

 

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.

Introduction
    Computer Vision
    Machine Vision
    Pattern Matching vs Pattern Recognition

Alignment
    Features of the target object
    Points of reference on the object
    Determining position
    Determining orientation

Gauging
    Setting tolerance levels
    Measuring lengths, diameters, angles, and other dimensions
    Rejecting a component

Inspection
    Detecting flaws
    Adjusting the system

Closing remarks

 

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Course Discounts

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