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Philip Lesslar - Data solutions consultant
He is from Miri in Malaysia. He started his career as a biostratigrapher specializing in quantitative techniques but subsequently in data management roles accumulating over 40 years of experience.

He has worked in team lead and principal consultant roles in micropaleontology, data, data quality management and data science, primarily in Malaysia but also doing various assignments in the Ne
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Clustering considerations for machine learning
Most datasets in oil and gas are multi-dimensional having many variables that make it difficult for us to analyse and find meaningful patterns. Therefore, the reduction of dimensionality is a fundamental part of a machine learning workflow and cluster analysis is one of the key tools used for this. Different dimensionality reduction and data clustering techniques are available.
02 Jul 2020

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