Introduction The kernel trick is a typical method in machine learning to transform data from an original space to an arbitrary Hilbert space, usually of higher dimensions, where they are more easily separable (ideally, linearly separable). This technique is the…
Introduction This post is about the impact that blocking code can have on an application and the importance of using libraries that natively support asynchronous programming. The goal is to understand that a blocking call is always blocking. In the…
Introduction Despite the uncertainty of 2023 regarding growth in the technology sector, data from a barometer on employability and digital talent has shown an increase in the search for talent by Spanish ICT companies. Increased demand for specialized talents The…
Introduction 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…
Introduction 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…
Introduction 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,…
Introduction 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…
Introduction 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…
Introduction 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…
Introduction 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…