Great Thinkers Webinar: Machine Learning - Limiting bias and Validating for Value


ONLINE August 29th 2019
 

Machine Learning has enormous implications in the mining industry because of its inherent ability to manage, process and extract knowledge from vast amounts of varying types of data. We, however, need a reality check: data and information cannot simply be thrown to machine learning. Crudely applied, machine learning simply does not always perform as expected.
 
How does one select the right method for the data or circumstance and ensure outcomes are valid? When is it appropriate to reject a machine learning outcome or continue to pursue improvements in the settings?
 
Join us in a webinar, presented by Snowden's Oscar Rondon, to address these and other interesting topics including:

  1. A general overview of Machine Learning
  2. What does the machine learn and how?
  3. Machine Learning: Just hype or does it have real value?
  4. Supervised and non-supervised approaches, how and when?
  5. Some practical case studies
  6. Comments and recommendations
Date

Thursday August 29th 2019

Time

12.00pm - 1.00pm (AWST)

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To register for our webinar please complete the form below

About the Presenter

Image of Oscar RondonOscar is a skilled geostatistician and researcher with over 18 years of combined experience in the Oil & Gas and Mining & Metals industries with a proven track of innovative research and achievements.

Oscar’s experience in the Mining & Metals industry comprises resource estimation and applications of conditional simulation, uniform conditioning, change of support and non-linear techniques within a range of different commodities and mineralisation styles.

Oscar’s experience in the Oil and Gas industry encompasses geostatistical reservoir characterisation as a part of a multidisciplinary team, seismic guided estimation of reservoir properties, co-simulation of reservoir properties through geostatistical techniques, conditional simulation of facies and applications of neural paradigms for seismic pattern identification and interpretation.

Oscar has a strong theoretical background which combined with his vast working experience has also made him sought after for the customisation, development and presentation of geostatistical training courses worldwide.