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Machine Learning

Practical examples of Ensemble Learning models

Ensemble Learning is a powerful method used in Machine Learning to improve model performance by combining multiple individual models. These individual models, also known as “base models” or “weak learners,” may have limitations such as high variance or high bias. There are two main types of ensemble models: There are Read more…

By David Andrés, 2 yearsMay 25, 2023 ago
Machine Learning

Ensemble learning

Ensemble Learning is a method used in Machine Learning that consists of combining multiple models. These models are “base models” or “weak learners”. Weak learners are models that don’t have a good performance, for example, they have high variance or high bias. There are two kinds of ensemble models: Homogeneous: Read more…

By David Andrés, 3 yearsSeptember 5, 2022 ago

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