MOOC - Computer Vision Expert
Computer Vision Fundamentals
The second unit of this job role provides insights on the underlying principles of computer vision as well as its main characteristics.
Dimensionality Reduction: Feature Selection and Extraction:
This learning element focus on the dimensionality reduction, focusing on feature selection and extraction
CVE.U2.E5.PC1
The student understands the need, definition, and purpose of dimensionality reduction.
CVE.U2.E5.PC2
The student is able to list the different types of dimensionality reduction.
CVE.U2.E5.PC3
The student can define feature selection and understand its particularities.
CVE.U2.E5.PC4
The student knows the different feature selection strategies.
CVE.U2.E5.PC5
The student is able to define feature extraction and understand its particularities.
CVE.U2.E5.PC6
The student knows the different feature extraction strategies.
CVE.U2.E5.PC7
The student is able to identify and understand the differences between feature selection and feature extraction.