MOOC - Machine Learning Engineer
Machine Learning Algorithms
The third unit of this job role provides a comprehensive description of the different Machine Learning algorithms.
Supervised Models:
This learning element provides a description of supervised learning models focusing on its definition, its application domain and its different categories. In addition, this element explains the particularities of regression, classification and probability estimation models.
MLE.U3.E2.PC1
The student is able to define and understand supervised learning.
MLE.U3.E2.PC2
The student understands the differences between regression models, classification models and probability estimation models.
MLE.U3.E2.PC3
The student knows some of the most commonly used algorithms in supervised learning.
MLE.U3.E2.PC4
The student is able to categorize each algorithm within the regression, classification and probability estimation domain.
MLE.U3.E2.PC5
The student knows the domain applications of supervised models.