-
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 & L-Infinity 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 co-founded in Guatemala.