Explorer Geophysical Corner
By Diana Salazar-Florez,Heather Bedle
It is well known that machine learning is based on complex statistics and programming, which for most of us, are not straightforward. When it comes to choosing the best technique, either supervised or unsupervised, the decision might not be easy and sometimes may even be overwhelming. Where do you even begin? Luckily, much research has been done recently to help geologists find an ideal starting algorithm, or the best machine-learning package. Here we discuss how just focusing on your choice of parameterization in a given machine-learning algorithm is one easy way to obtain better results without having to switch from technique to technique.