This repository was created in 2017 to get acquainted with the GitHub structure and its functional commands. Nowadays, git is a fundamental tool I use daily as a data scientist, researcher, and professor. That said, it's time to update this list...
- Semantic attribution computability
- Classification of semantic content
- MLOps for hybrid (on-premises | cloud) environment
This is the theme of my undergoing doctorate research in computational intelligence. In this context, natural language appears as the utmost human characteristic, and its processing is still an open problem in computing. My research focuses on semantic attribution and applies to psychometry, NLP, and CV.
I have a particular interest in 5G (5th-Generation Wireless System), Software-Defined Networks (SDN) and Network Functions Virtualization (NFV). These three technologies are responsible for a paradigm shift from traditional network topologies to software-defined ones, mainly based on resources available and services demanded. I'm also interested in Internet of Things (IoT) architectures and applications.
As a data scientist, I'm interested in analytical tools based on wavelets, Fourier transform, time series, and Bayesian models. I'm also levering on MLOps techniques for big data.