Another benefit with this approach of using multiple simple models is that it makes monitoring and maintaining model performance far easier for the data science team. Importantly, if a query ...

Data wrangling is the process of ... This is easy to implement with standard Python libraries. Which imputation strategy is best? It depends on your data and your model, so the only way to know ...

From obtaining and maintaining data quality to addressing infrastructure demands and skills shortages, each aspect of the AI model training process presents unique hurdles. Model explainability ...

Supervised fine-tuning involves training the pre-trained model on labeled data relevant to the job at hand, allowing it to learn task-specific patterns and correlations. This process relies ...

Namely, the hub-and-spoke model introduces a central data team, or center of excellence (the “hub”). This team owns the data platform, tooling and process standards whereas the business domain ...

This is the power of data. In this post I look at the process for applying data to your decision making – broken down into a simple ten-step process. Don’t be tempted to skip steps or jump ...

A simple model of the incoming structure can be developed using reference data (TEM image) from a known incoming structure. Information about the chemistry and physics of various processes, along with ...