
An introduction to Gradient Descent Algorithm
Gradient Descent is one of the most used algorithms in Machine Learning and Deep Learning.

From my talk for Google I/O extended in Guatemala
On past April 9th, I gave a talk for the Google I/O extended in Guatemala about Google Colaboratory.

Simple guide to Confusion Matrix
Putting it in a few words, a confusion matrix is a summarization of the performance of an algorithm. It is a table that describes the performance of a classifier model with known labels.

L0 Norm, L1 Norm, L2 Norm & LInfinity Norm
First of all, what is a Norm? In Linear Algebra, a Norm refers to the total length of all the vectors in a space.

Easy and quick explanation: Naive Bayes algorithm
Naive Bayes is one of the simplest yet reliable algorithms used in Machine Learning, particularly in Natural Language Processing (NLP) problems.

About my experience in La Idea Incubator program
Last March, I was glad to be announced as one of the participants for the 2018 cohort of La Idea incubator program for my entrepreneurship that I recently cofounded in Guatemala.