Description
Registration has closed for this event. Thank you for showing interest!!
Participate in a guided hands-on workshop where you can discover various aspects of building a Machine Learning Model and then packaging and deploying that model into an End-to-End Upstream E & P Workflow Solution that an end user (Geoscientist, Production Engineer, Drilling Engineer etc) can use.
- Session 1 (1.5 hours)
- Slides on various aspects of building the ML model
- Introduction to the hands-on use case
- Session 2 (2 hours)
- Verify Setups
- Guided ML model building session
- Hands-on session for attendees to refine the model
- Validate the Model resultsSession 2 (2 hours)
- Lunch (1 hour) _ Included in registration
- Session 3 (2 hours)
- Discussion on packaging, operationalization and future maintenance
- Demo of an end-to-end solution
- Show model building workflow using interactive Story-telling mode starting from the data source and ending with an ML Model
- A focused application showing the use of the ML model
- An enterprise application with multiple ML models running behind the scenes while the end-user is using the application
- Session 4 (1-1.5 hours)
- Open discussion
Link to Data Science Convention (In-Person Registration): https://www.spegcs.org/events/6214/
Link to Data Science Convention (Virtual Registration): https://www.spegcs.org/events/6381/