Machine Learning

Dealing with Missing Data in Machine Learning Problems

Three popular techniques for dealing with missing values in data science and Machine Learning: Dropping the Columns with Missing Values: Simplest option, but unless a column is mostly missing it can lead to loss of […]

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Federated Machine Learning for COVID19 Spreading Estimation

COVID19 spreading estimation is currently based on simulations[1] that are driven by known epidemiological models[2]. The latter are adapted based on classical models used for viruses of the corona family[3]. Specially, the mathematical principles of […]

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Popular Techniques for Explainable Artificial Intelligence

During the last couple of years, the interpretability and explainability of AI systems are gaining momentum as a result of the need to ensure the transparency and accountability of AI operations, while at the same […]

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