Data Science

Data Quality Considerations for Machine Learning Models

Reducing the Impacts of Garbage In Garbage Out on Machine Learning Models Ensuring you have good data quality prior to running machine learning algorithms is a crucial step within the overall data science and machine learning workflow. The use of poor-quality data can lead to severe degradation in the results and have further consequences when

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server racks on data center

Public Datasets for Machine Learning in Geoscience

The best open source geoscience datasets for applying data science, machine learning and petrophysical techniques For many years well logging and petrophysics datasets have remained locked up in oil and gas company servers or government servers and has only been accessible to those people who have the right access privileges. However, in recent years there

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