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ACE SC-01 Introduction to Energy Machine Learning

Saturday, 22 May 2021, 8:00 a.m.–3:00 p.m.  |  Denver, Colorado

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Who Should Attend

Any geoscientists interested in applying machine learning to their area within the industry from exploration to development or downstream applications.

Objectives

To introduce the theory and practical applications of machine learning within the Energy industry as means to help improve data-driven decision making.

Course Content

  • Introduction to ML –providing definitions, fundamental concepts of inference and prediction and the opportunity and limitations of ML.
  • Inference: Dimensionality reduction and clustering
  • Prediction tools:
    • ‘k’ nearest neighbors
    • Tree-based regression
    • Ensemble tree-based regression
    • Neural networks
  • Working examples
Fee:
$400 Professionals
$75 Students (Limited Number)
Limit:
40 People
Includes:
Course materials will be made available as web-based content to attendees, including coding examples.

Venue

ACE SC-01 Introduction to Energy Machine Learning
Colorado Convention Center
700 14th St
Denver, Colorado 80202
United States

Instructor

Instructors

AAPG Instructor  
The University of Texas at Austin