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Guido Salimbeni
Guido Salimbeni

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Apr 15

I got my App online… and a database.

How to publish a web application using React and connect to a MySQL database using a PHP file as a backend. I decided to write this article partially to have a place to refer to in case I need to create again the connection from a web application done in…

My SQL

2 min read


Jun 21, 2021

AVACA

Artificial Intelligence Game for Still Life Composition. AVACA is a made-up name for a game available for free on Google Play, which is about competing with Artificial Intelligence to find the best composition for a still life painting. The game is available here. Or here through my website. Inspired by…

Reinforcement Learning

1 min read

AVACA
AVACA

Jun 20, 2021

Face Similarity in React

My Khe Nguyen provided to the Kaggle community a dataset that has the last words of death row inmates. The data contains information on inmates executed by the Texas Department of Criminal Justice from 1982 to November 8th, 2017. Texas adjusted its legislation and allowed for capital punishment in 1973…

Javascript Face Api

2 min read

Face Similarity in React
Face Similarity in React

Jan 16, 2021

Day Three in Machine Learning: web scraping and multivariate future predictions with Prophet.

This article is about Machine Learning prediction using data collected from a website and google trend. It is a toy example that assumes a correlation between the keyword “coffee” search on Google and the historical price of coffee. The example shows how to combine different sources of data in a…

Prophet

3 min read

Day Three in Machine Learning: web scraping and multivariate future predictions with Prophet.
Day Three in Machine Learning: web scraping and multivariate future predictions with Prophet.

Published in Analytics Vidhya

·Jan 8, 2021

Day two in Machine Learning: k-nearest neighbours.

The k-nearest neighbours’ algorithm (kNN) is a non-parametric machine learning method used for classification and regression. It is non-parametric because the model does not learn any parameters to make correct predictions. Instead, it will look at closest training examples (the number of examples depends on the k selected by the…

K Nearest Neighbours

5 min read

Day two in Machine Learning: KNN
Day two in Machine Learning: KNN

Published in The Startup

·Jan 5, 2021

Day One in Machine Learning

The whole concept of machine learning is figuring out ways in which we can teach a computer to perform a task without needing to provide explicit instructions. For example, we might want to instruct a machine to recognise the brand of a bottle of wine. The first step would be…

Machine Learning

5 min read

Day One in Machine Learning
Day One in Machine Learning
Guido Salimbeni

Guido Salimbeni

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