page content

SC-8 Practical Machine Learning Methods in the Geosciences

Society of Exploration Geophysicists (SEG)

Saturday, 25 September Sunday, 26 September 2021, 10:00 p.m.–2:00 a.m.  |  Denver, Colorado

short course image

Who Should Attend

This short course is for physical scientists who have heard about ML and might know some details, but lack enough knowledge to assess ML applications in their specialty.

Intended Audience:
Intermediate Level
Prerequisites:
Knowledge/Experience/Education required: BS degree. Matrices, Vectors, Matrix Inverse, Calculus, Partial Derivatives

Objectives

Diligent students will:

  1. Learn how to apply ML methods to geoscience examples
  2. Understand key principles underlying each of the ML methods
  3. Practice manipulating MATLAB and Keras ML codes so they can adapt the codes to their own problems
  4. Understand limitations and benefits of each ML method

Course Content

Learn the high-level principles of five important topics in machine learning (ML): neural networks; convolutional neural networks; support vector machines; principal component analysis; clustering methods. Practical examples in geosciences will be used to show applications of each method. Practice the execution of these methods on MATLAB and Keras codes. Teaching format is 50 minute lectures and 1-hour labs to reinforce principles of each method.

This short course is for physical scientists who have heard about ML and might know some details, but lack enough knowledge to assess ML applications in their specialty. This limitation will be eliminated after two days of diligent attendance. A selective overview of important ML topics is provided and their practical understanding comes from MATLAB exercises. Machine learning examples are taken from the fields of astronomy, medicine, geosciences, and material sciences.

Fees

Fee:
Non-Member: $300
Member: $250
Student Member: $125
Limit:
30 People
Educational Credits:
.8 CEU

Venue

SC-8 Practical Machine Learning Methods in the Geosciences
Colorado Convention Center
700 14th St
Denver, Colorado 80202
United States

Instructor

Gerard Schuster Gerard Schuster 2021-2021 Professor of Geophysics, King Abdullah University of Science and Technology, (KAUST)

theresa

Contacts

carolyn

DNNGo.ContentBuilder