In sectors such as hospitality and aviation, dynamic pricing systems are the basis of revenue management. What is Dynamic Pricing? A dynamic pricing system is a series of algorithmic rules that adjust prices in real time based on certain factors.…
The pricing systems currently used in companies have a substantial difference with respect to those of 20 years ago. We have moved from static pricing systems, that is, constant prices at different times of the year, to dynamic systems, where…
This post will deal from another point of view with one of the most popular games that can be played on paper, the Sudoku. The objective will be to explain an algorithm for solving it, together with the code that…
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…
What is a digital twin? When we talk about digital twins, we are mainly referring to a virtual representation of a physical system, where a copy (twin) of the real environment is reproduced using the information (Big Data) that affects…
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…
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…