Other

Blog

Pi estimation using simulation: Posted on 2017-09-08.
Gradient Descent and Stochastic Gradient Descent for regression : Posted on 2017-09-11.
Bayesian linear regression for applied mathematicians’ salary: Posted on 2017-10-28.
Gradient descent for shallow neural networks: Posted on 2018-01-08.
Minibatch gradient descent for linear regression in Rcpp: Posted on 2018-02-27.

Some school projects

Modeling house prices in NYC with a Bayesian hierarchical model (December 2017): Final project for my advanced regression class. Written in Spanish.
On improving Apache Spark’s performance: a survey (December 2017): Survey paper for my Advanced Operating Systems class.
Twitter network analysis (May 2015): School project analyzing a social network created via RTs and replies in Twitter. Written in Spanish.
Spatial analysis of fires in the Blue Mountains (April 2015): School project doing spatial statistics on forest fires in the Blue Mountains. Written in Spanish.
Marketing Bayesian Network (March 2015): School project on the application of Bayesian Networks in the understanding of the relations kept by different variables in a marketing campaign. Written in Spanish.
Markov Chains in Natural Language Processing (Winter 2014): Article about the creation of a mathematical language model. Published in Laberintos e Infinitos, an Applied Mathematics school magazine run by the students at ITAM. Written in Spanish.
Automatic news classification (December 2014): School project on the application of Machine Learning models for the automatic classification of news articles. Written in Spanish.
Prediction of problematic customers (December 2014): School project on the application of Generalized Linear Models (GLM) in the prediction of the complaint of a financial service customer. Written in Spanish.
Page Rank algorithm (May 2014): School project on the application of the PageRank algorithm in determining important nodes in highway networks, electricity networks and neurons of a worm. Written in Spanish.