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SC-07 Introduction to Energy Machine Learning

Society for Sedimentary Geology (SEPM)

Thursday, 30 September 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 Machine Learning (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

Fees

Fees:
Professionals: $400
Students: $75
Limit:
40 People
Educational Credits:
0.7 CEU - 7 PDH
Includes:
Course materials will be made available as web-based content to attendees, including coding examples.

Venue

SC-07 Introduction to Energy Machine Learning
Colorado Convention Center
700 14th St
Denver, Colorado 80202
United States

Instructor

Michael James Pyrcz Michael Pyrcz 2021-2021 Associate Professor, The University of Texas at Austin, USA

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Contacts

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