about

I like Machine Learning, with great interest in Self-supervised learning, Reinforcement Learning, Decision making, and all interpolation in between.

But assuming independence between random events topics is being over-simplistic, so I like to be broad in my understanding of things, getting the necessary basis and apply them in more intuitive (for humans) ways.

I really like visualizations and animations of simple but strong topics, as a way to grasp correlations that we can miss while thinking in plain math.

I also like to use these simple rules as building blocks for smart machines that can model and adapt to the complex world we live in.