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…
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 for…
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…
In our previous post about Reinforcement Learning, we made an introduction to this area through one of its most popular techniques: Q-learning. We laid the groundwork by talking about Markov decision processes, policies and value functions, and we saw a…
Human pose detection is a quite relevant task in the field of computer vision, which consists of identifying the pose of a human figure from an image. This pose is defined from a series of key points, usually joints, so…
Hungry Geese is a version of the mythical game “Snake”, but with geese, so that multiple agents compete against each other with the goal of surviving longer. This game was born in a Kaggle competition, developed between January 26, 2021 and…
Artificial neural networks are one of the main lines of study in the field of artificial intelligence today. This family of algorithms allows solving tasks as complex and diverse as image recognition, natural language processing or music generation. The main…
