The linear regression model is one of the most useful tools in every data scientist’s kit bag. Although this post is geared towards people with first-hand knowledge of this statistical model, it never hurts to remember that linear regression aims…
In two previous posts we introduced the basic concepts of Fuzzy Logic and linear programming with the Simplex method. As promised, in this post we are going to join these two concepts and introduce fuzzy linear programming. In many real-world…
Modeling and explaining the consumer behavior of a product is very important to know what factors affect their behavior, price being one of these important factors. Let’s take as an example a company X that sells clothing. It is a…
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 blog article, 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,…
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…
In the world of data science and analysis, time series are a key element, as they represent a very natural source of information: values of a magnitude at different points in time. This is why understanding their properties and knowing…
In the previous post by Damavis, the concept of NLP was introduced and an example of the use of the well-known GPT-3 text generation model was shown. In short, the system proposed by OpenAI is a generative artificial intelligence model…
Seen on networks During this week we have shared some news from the universe of Big Data and Artificial Intelligence on our social networks: Twitter, Facebook, Instagram and Linkedin and we did a survey about Machine Learning libraries. Nowcasting the…
