This portfolio consists of several projects I have done in order to acquire and hone my skills in Data Science and Artificial Intelligence.
- Final Thesis of Master's degree in Advanced Mathematics and Mathematical Engineering.
- Qualify with an 9 over 10.
- Abstract: Word embeddings are widely use in several applications due to their ability to capture semantic relationships between words as relations between vectors in high dimensional spaces. One of the main problems to obtain the information is to deal with the phenomena known as the Curse of Dimensionality, the fact that some intuitive results for well known distances are not valid in high dimensional contexts. In this thesis we explore the problem to distinguish between synonyms or antonyms pairs of words and non-related pairs of words attending just to the distance between the words of the pair. We considerer several norms and explore the problem in the two principal kinds of embeddings, GloVe and Word2Vec.
- This paper contains the most important results achieved in my master thesis.
- Was publish in the IOSPRESS, Artificial Intelligence Research and Development (Volume 319).
- Was presented in the 22nd Conference of the Catalan Association of Artificial Intelligence (Mallorca, Spain, 2019).
Repository | Video presentation | Announcement of our award
- We combined SEIRS model and genetic algorithms to predict COVID cases in the USA.
- A list of all members of the team MUGA (Make Unicorns Great Again) can be found at the repository of the project.
