Here’s how to smartly undersample your signal using few lines of code — In the era of Big Data undersampling is a key part of Data Processing. …

A step by step introduction to Binary Linear Optimization with few lines of codes — 1. Introduction We use optimization in our everyday lives, a lot. Sometimes we do it without even thinking about it. Let’s say you are buying groceries, and you need to buy razor blades. Of course, if you buy 10000 razor blades you won’t have any money left in your bank. Nonetheless, if…

From theory to practice, here is everything that you need to know about this simple yet interesting and powerful method. — Ok, classic Machine Learning situation. You have a tabular dataset and you have to classify it. How do you do it? Well, first thing first, you need to know very well the tools that you may use. A very well-known algorithm that you may try to use is the Perceptron. …

From theory to practice: here’s how to perform frequency analysis, noise filtering and amplitude spectrum extraction using Python — If you want to work with data one thing is for sure: specialize or die. This idea of a data scientist which can work with textual data, signals, images, tabular data and legos is an old fashioned way of seeing this profession. Nowadays, with the advent of Machine Learning and…

Here’s how to create your optimal shopping list using artificial intelligence — Yesterday I was buying groceries at Kroger. I had to buy 30 razor blades, one per day of the month. Nonetheless I could only buy a 6/10/12/24 pack blades. Plus I had multiple brands. Plus I was in Kroger, but I could have gone to Target or Walmart. Now, I…

Your McDonald’s order will never be the same — “Have you ever ordered 43 Chicken McNuggets at McDonald’s?“ When I first heard this story it completely blew my mind, but it is actually true that the Chicken McNuggets have a mathematical story, and it is pretty interesting. Originally, you only have boxes of 6,9 and 20 Chicken McNuggets. While…

Here’s how to explore 38 GB Reddit data (54M+ rows) and get powerful insights in few minutes. — Let’s say it loud and clear: Python is awesome. I know what you are thinking and you are right: you can work with Julia, R or any other language, and still write incredible Machine Learning and Data Science codes. …

Here’s how I used Markov Chains to model an ordinary Saturday night in a realistic way using Markov Chains and Python — When I came to the US 6 months ago to start my job as a researcher I learned a new english term: “Bar Hopping” I think that a more European term would be “pub crawling”, but the concept is basically to go around and drink in different pubs (or bars)…

Theoretical differences and hands on examples about MLP and Linear Regressor in a Machine Learning problem. — Let’s start with a simple consideration: we all love neural networks. We love them because they are intuitive, most of the time they don’t require domain knowledge, they are easy to code and pretty simple to understand. …