Machine Vision Training Courses

Machine Vision Training Courses

Τα τοπικά μαθήματα επαγγελματικής κατάρτισης Machine Vision (MV), καθοδηγούμενα από εκπαιδευτές, καταδεικνύουν μέσω της διαλογικής συζήτησης και πρακτικής άσκησης τις βασικές αρχές και εφαρμογές του Machine Vision. Η εκπαίδευση Machine Vision είναι διαθέσιμη ως "live training onsite" ή "remote live training". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης

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Machine Vision Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
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

- This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.

Upcoming Machine Vision Courses

Online Machine Vision courses, Weekend Machine Vision courses, Evening Machine Vision training, Machine Vision boot camp, Machine Vision instructor-led, Weekend Machine Vision training, Evening Machine Vision courses, Machine Vision coaching, Machine Vision instructor, Machine Vision trainer, Machine Vision training courses, Machine Vision classes, Machine Vision on-site, Machine Vision private courses, Machine Vision one on one training

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As a NobleProg Trainer you will be responsible for:

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At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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  • R, Python
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