Category Data Science

The Kernel Trick in Machine Learning

Introduction The kernel trick is a typical method in machine learning to transform data from an original space to an arbitrary Hilbert space, usually of higher dimensions, where they are more easily separable (ideally, linearly separable). This technique is the…

Object recognition with Deep Learning

Introduction Object detection is a branch of computer vision that focuses on identifying the presence and location of objects in images. It is used in a wide variety of applications, from surveillance systems, medical image analysis to autonomous driving. This…

Linear Regression with Python

Introduction Regression is a statistical methodology that describes the relationships between a continuous explained variable and a set of explanatory variables. In other words, regression models are able to predict the value of a dependent variable y with respect to…

Introduction to Logistic Regression

Introduction Logistic regression is a statistical methodology that allows modeling the relationships between a binary categorical variable and a set of explanatory variables. Specifically, it models the probability that an observation belongs to one of the categories of that binary…