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How Can Complex Model Code Run Fast? Trade-off between model complexity and running speed
There are several concerns when selecting machine learning models for a specific task. The model
Fast Hyperparameter Tuning to Improve Model Code Performance
Hyperparameter tuning plays an important role in the process of training an optimal machine learning
TurinTech’s evoML reduces AI’s carbon emissions by 50% with multi-objective optimisation
London, UK; 12th January 2022: TurinTech, the UK company which empowers businesses to build efficient
What Is Imbalanced Data and How to Handle It?
Imbalanced data is a common problem in machine learning, which brings challenges to feature correlation,
Four Methods to Statistically Measure Your Data Correlation
Correlations is a measure of the association between variables. They measure to what extent one
Feature Generation: what it is and how to do it?
In our everyday life we are faced with decisions. One of the reasons why we
Feature Selection: the “why” , the “what” and the “how”
Data scientists often use Feature Selection techniques to reduce the number of features and keep
AI-driven Data Catalog
Problem Data Catalog is an inventory for datasets. It provides detailed data description (i.e. metadata),