Data visualization is the process that allows information to be represented graphically through visual resources and elements with which to understand what is happening as quickly and simply as possible. Next, we will analyze some of the tools for representing…
A few weeks ago, we talked in our blog about Object recognition with Deep Learning, explaining this technique and some of its algorithms. In this post, we will analyze a very similar area known as semantic image segmentation, a computer…
The new edition of the largest international event on technology and connectivity has taken place this year 2023 at the Fira Gran Via in Barcelona between 27 February and 2 March. In this appointment where top-level technology companies meet, Damavis…
Object detection is a branch of computer vision that focuses on identifying the presence and location of objects in images. It is used in a wide variety of applications, from surveillance systems, medical image analysis to autonomous driving. This technique…
In this post we will look at how a Blockchain works, a technology that is trying to revolutionize the way in which we store and share information online. We will also build an example of a Blockchain, explore the different…
In a previous post, we analyzed from a theoretical point of view which are the main libraries for data science and machine learning used by data scientists to treat data efficiently and extract its full potential. In this post, we…
Data science is an interdisciplinary area that deals with extracting knowledge and useful information from data. Given the large amount of data generated by companies, it is important for data scientists to have tools that facilitate the manipulation, analysis and…
When reviewing code, we often spend time going over small bugs or stylistic details that distract us from what’s really important. In this post we will introduce pre-commit, a tool that attacks this problem by automatically correcting our code. What…
Machine learning is perhaps the most popular branch of Artificial Intelligence and uses a series of algorithms whose methodology is based on carrying out a massive analysis of data in order to learn from it and, finally, find the solution…
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…