Type of course:
Digital learning, Lesson
Language:
EN
Duration:
30 minutes
Workload:
2 hours
Proficiency:
Beginner
Target:
Manager, Professionals
This lesson presents different methods used to train AI machine learning models, including
methods of selecting subsets of data for training and testing the models. It also
provides a brief description of trained model preparation for use in real
conditions with some examples. It also presents some of the most common limitations
that these steps have, including limitations of the ML models themselves.
Learning outcomes
- The learner is able to list and describe the main steps of the general Machine learning model creation workflow and explain the reasons for the existence of these steps after completing this lesson.
Course Content
Topics
Advanced Manufacturing, Digital Transformation, CNC Machining, Artificial Intelligence (AI)
Content created in 2023
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