Machine learning use cases classification and regression
Machine learning applications are broadly classified into two categories: classification and regression. Classification tasks involve predicting discrete labels, such as ...
Tag: Data Science
Reproducible analytics notebooks and pipelines
Reproducible analytics notebooks and pipelines enhance data integrity and collaboration in research. By standardizing processes and ensuring consistent execution, they ...
Ordinary kriging versus inverse distance in practice
Ordinary kriging and inverse distance weighting (IDW) are widely used geostatistical methods for spatial interpolation. While ordinary kriging leverages statistical ...
Variography explained for non statisticians
Variography is a statistical technique used to analyze spatial data by measuring variability across locations. It helps identify patterns and ...
Building a 3D geology model from sparse data
Building a 3D geology model from sparse data involves integrating fragmented geological information using advanced computational techniques. This approach enhances ...
Block models demystified for non specialists
Block models are essential tools in resource estimation within the mining industry. By dividing a three-dimensional space into smaller, manageable ...
Reinforcement learning optimizes haulage dispatch
Reinforcement learning (RL) is revolutionizing haulage dispatch by optimizing route allocation and resource management. By utilizing real-time data, RL algorithms ...
AI Models Generate Probabilistic Mineral Resource Estimates
Recent advancements in artificial intelligence have enabled the generation of probabilistic mineral resource estimates, enhancing accuracy and efficiency in estimations. ...
Predictive Modeling Integrates Social License Data
Predictive modeling increasingly incorporates social license data to enhance decision-making in various industries. By analyzing community sentiments and stakeholder engagement, ...
Multi-Sensor Networks Transform Geological Understanding
Multi-sensor networks are revolutionizing geological research by integrating data from various sources, such as seismic, satellite, and ground sensors. This ...