Machine Learning
Gradient Descent
Gradient Descent is an optimization algorithm for finding the local minimum of a function. It searches for the combination of parameters that minimizes the cost Read more…
Machine Learning
Linear Regression
Linear regression is a supervised Machine Learning algorithm used for regression, which is a technique employed to predict continuous outcomes, that consists of fitting a Read more…
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…
Neural Networks
Convolutional Neural Networks I
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…
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 Read more…