Optimisation Lab

How to achieve optimal performance: code optimisation in the AI ecosystem

Boosting performance is a priority in the AI space. Businesses will not hesitate to make…



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How can data scientists write production-quality machine learning code?

Data science is a field that encapsulates a range of skills. However, in the data...


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Customer churn prediction using Machine Learning: a step-by-step guide with evoML

In our previous article, Customer Churn Prediction and Prevention Using AI, we pointed out the…



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Time Series Forecasting: Predicting Dow Jones Prices and Trends with evoML

Forecasting is a crucial component in decision-making. In order to make good decisions in the…



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How Can Complex Models 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…



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Fast Hyperparameter Tuning to Improve Model Performance

Image by Daniel J. TOTH Hyperparameter tuning plays an important role in the process of…



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What Is Imbalanced Data and How to Handle It?

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



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Four Methods to Statistically Measure Your Data Correlation

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



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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…



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Feature Selection: the "why" , the "what" and the "how"

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



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Data Quality in Machine Learning: How to Evaluate and Improve?

Introduction With data being at the heart of machine learning, it is inevitable that the…



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