
This is the second part of a course that starts with the module I offered by INSA Group. During the first Module, students learn how to design a monitoring system for machining process and how to collect data from distributed devices, with practical experiences; the data so obtained are stored in a database and become the subject matter of this second module, where the students learn to develop machine learning models (classical and AI-based) to classify the process condition and to make predictions on the process itself. Students participating to this course shall be able to build custom algorithms for analyzing and classifying manufacturing process data, by designing the algorithms, mangling and organizing the data in the database/data-lake, training and validating the models, and deploying the trained model to operations.
These are the teamchers you'll work with on the challenge.
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