Practical Application of Machine Learning to Pipeline Integrity

Attendees will learn how to apply inferential statistical and machine learning methods to common pipeline integrity and risk management use cases. As an interactive hands-on course, participants will be presented the technical basis of machine learning fundamentals and will use their own data with open source software to experience its practical application.

This event is offered on the dates listed below.
For complete information about the event, please click on the appropriate date.

Upcoming Dates

2020
Houston: May 10-11, 2021

 

 

Past Dates
Houston: February 17-18