Submission information
Submission Number: 83
Submission ID: 2660
Submission UUID: d474674e-a7e7-4f5f-9d28-e13ef38406db
Submission URI: /form/resource
Created: Thu, 01/19/2023 - 15:32
Completed: Thu, 01/19/2023 - 15:32
Changed: Fri, 03/14/2025 - 11:43
Remote IP address: 129.72.173.17
Submitted by: Lars Kotthoff
Language: English
Is draft: No
Webform: Knowledge Base Resources
Approved: Yes Title: Applications of Machine Learning in Engineering and Parameter Tuning Tutorial Category: Learning Tags: data-analysis (422), machine-learning (272), python (69) Skill Level: Beginner (304), Intermediate (305) Description: Slides for a tutorial on Machine Learning applications in Engineering and parameter tuning given at the RMACC conference 2019. Link to Resource: - Applications of ML in Engineering and Parameter Tuning Tutorial (RMACC 2019) (https://www.eecs.uwyo.edu/~larsko/slides/rmacc19.pdf) Domain: ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)