There are several concerns when selecting machine learning models for a specific task. The model

 Hyperparameter tuning plays an important role in the process of training an optimal machine learning

London, UK; 12th January 2022: TurinTech, the UK company which empowers businesses to build efficient

Imbalanced data is a common problem in machine learning, which brings challenges to feature correlation,

Correlations is a measure of the association between variables. They measure to what extent one

In our everyday life we are faced with decisions. One of the reasons why we

Data scientists often use Feature Selection techniques to reduce the number of features and keep

Problem Data Catalog is an inventory for datasets. It provides detailed data description (i.e. metadata),

Problem According to Gartner, $14.2M is lost to poor data quality each year. Data quality

Problem Data governance is prominent in helping financial institutions stay compliant as digitalisation accelerates. It

Problem Since data resides in various systems, data mapping helps bridge the gap between two