Machine Learning
Evaluation metrics for classification I
Part I: Accuracy and Confusion Matrix There are many different Machine Learning problems, and even within them, there are several ways the objective of the Read more…
Part I: Accuracy and Confusion Matrix There are many different Machine Learning problems, and even within them, there are several ways the objective of the Read more…
Parte I: Precisión y Matriz de confusión Hay muchos tipos de problemas de Machine Learning y, en la mayoría de casos, hay varias maneras en Read more…
Part I: Convolutional Layers Convolutional Neural Networks (CNN) are a kind of deep learning algorithms that can take multidimensional data such as images as input Read more…
Parte I: Capas convolucionales Las Redes Neuronales Convolucionales (CNN del inglés, Convolutional Neural Networks) son un tipo de algoritmo de Deep Learning que es capaz Read more…
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 Read more…
Ensemble Learning (aprendizaje por combinación) es un método muy usado en Machine Learning que consiste en combinar multiples herramientas. Las herramientas usadas se consideran “modelos Read more…