Collaborating with the "Data science for health care" department I was able to make a study on state of the art approaches to Dimension Reduction, analyzing the strengths and weaknesses of both novel and traditional techniques on hard cases such as the gene-expression analysis.
This experience thought me solid foundation about the field of Dimension Reduction, and most importantly dealing with scientific papers and documentation. It was also a good occasion to practice with both Python and R for data analysis and machine learning.
Machine learning
Dimensionality reduction
Scientific documentation
Python
📍 Trento, Italy
mar 2023 - jul 2023
AI re-ontologizing power is something so exciting and sometimes frightening at the same time it caught my eye just as the CHAT-GPT revolution came. At the time i told myself I wanted to be part of that, so here I'm trying to do my best while diving into such a thrilling field.
As someone once said, "with great power comes great responsibility" 🕷 🕷 🕷.
That's why I believe as engenieers we often have an under estimated responsibility in shaping peoples' life
trust
commitment
respect
transparency
support
