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 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 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 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…
Introduction 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…
Introduction 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…
Introduction 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…
Introduction Nowadays, when talking about neural network models, it is common to mention how many graphics cards they need. For larger ones, there is talk of how many cards are needed, and how many GB of RAM may be required…
Introduction One way we at Damavis help our clients is through the implementation of Record Linkage solutions. This type of process makes it possible to find records that refer to the same entity but are found in different data sources.…