Hands-on signal generation in few lines of codes, using Python — 1. Introduction Imagine that you have pain in your knee. You go to a doctor and you want to understand if your leg is broken or not. Now imagine that the doctor gives you the following response: “To understand if your leg is broken or not, let me first break the other…

Here’s how I used Data Science to extract insightful information about coaches from the best international championships. — DISCLAIMER: I’m not a football analyst! I don’t do football analysis for a living. The assumptions that are made in this article are made by a passionate football fan and lover. Don’t make war, make love. ❤ In Italy, football is almost a religion. I’ve been following my team (A.S…

Extracting information from CO2 emissions dataset — Disclaimer: This notebook has not been written by a climate scientist! Everything is exclusively analyzed by a data scientist point of view. All the statistical analysis are meant to be used as tools for a time series analysis of any kind. Let’s start by stating the obvious: The job of…

Here’s what Physics Informed Neural Networks are and why they are helpful — NOTE: This article approaches the Physics Informed Neural Networks from a Physics point of view and guide the reader from Physics to AI. A really good paper that kind of does the opposite (from AI to Physics) is the following one. Shoutout to the amazing article! :) Let’s start with…

Here’s how to use Machine Learning to classify unlabeled time series with few lines of code. — The first Machine Learning lesson starts with something like this: There are two kinds of task in a Machine Learning scenario: classification and regression. Let’s say that you have a picture, which in mathematical terms is nothing but a matrix, and you want to say if it is a picture…

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…