Regression is a statistical methodology that describes the relationships between a continuous explained variable and a set of explanatory variables. In other words, regression models are able to predict the value of a dependent variable y with respect to a…
Recently, the OpenAI team launched ChatGPT, a new deep learning-based conversational tool that promises to improve human-machine interaction in a variety of environments. ChatGPT is designed to understand natural language and provide consistent and relevant responses to questions or comments…
In the last few years, we have seen a great evolution in the Python programming language as it has gained popularity to become one of the most widely used programming languages. The involvement of the community with the development of…
Since our Pentaho PDI plugin for Apache Airflow release, we have seen an industry shift towards the usage of Apache Hop for data processing. What is Apache Hop? Apache Hop started (late 2019) as a fork of Kettle PDI, is…
Apache Spark is an open source framework that allows us to process large volumes of data in a distributed way. How? By dividing the large volumes of data, impossible to process in one machine, and distributing them among the different…
If you have ever shared code, it is quite likely that you have said “well, it works on my machine” when you see how others have difficulties running it. Incorrect configuration, version differences or uninstalled dependencies are often some of…
I love writing posts for Damavis’s blog because it allows me to share my passion for Big Data and consulting. It’s also a great way to connect with other consultants and potential clients. I enjoy being able to provide my…
Logistic regression is a statistical methodology that allows modeling the relationships between a binary categorical variable and a set of explanatory variables. Specifically, it models the probability that an observation belongs to one of the categories of that binary variable.…
We are all familiar with the concept of Linear Programming or Linear Optimization, that branch of mathematics that is dedicated to optimizing (maximizing or minimizing) a linear objective function subject to constraints in the form of equations and/or inequalities. Although…
When we deal with data and we want to plot them in graphs, sometimes we need to generate those graphs using a format that allows scaling to any resolution and without losing quality. If we also need some interactivity, being…