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    The Wilcoxon Sign Rank Test: A Geological Example

    Geological data is often not normally distributed, and with data that is not normally distributed parametric methods should not be used.  In this case, I did a paired experiment, which is a simplified example of blocking, where comparisons are made between similar experimental units. This blocking needs to be done prior to performing the […]

    Exploratory Data Analysis and data types in a geological context


    Most often in university statistics courses, parametric techniques are given the primary focus. These techniques involve summarizing distributions with typical parameters like mean, median, mode, variance, and standard deviation. The focus is on central tendency and the spread of subsets of the populations to make general conclusions and determine equivalence.

    This has […]

    PDAC 2019 – Concepts and Applications of Machine Learning to Mining Geoscience – Part 2

    An orange holding hands with paper holding balloons

    Orange: A Data Mining Tool

    To continue from my previous post, I will introduce a great tool for basic data mining and machine learning that absolutely any geologist can use with no programming knowledge needed. That tool is Orange. It is free, open source, and intuitive. It can be used to simply visualize […]

    PDAC 2019 – Concepts and Applications of Machine Learning to Mining Geoscience – Part 1

    Course Introduction and Reasons Why Machine Learning Projects Fail

    I just had the privledge of attending the short course titled above at PDAC, 2019. I would like to thank the course instructors:

    Jean-Philippe Paiement, P.Geo, MSc from Mira GeoscienceGuy Desharnais, P.Geo, PhD from Osisko Gold RoyaltiesAntoine Caté, P.Geo, PhD from SRK ConsultingMartin Blouin, PhD from GeolearnErwan Gloaguen, […]