Alessandro Palliccia
Student of Mathematical Engineering at Politecnico di Milano.
I study Mathematical Engineering at Politecnico di Milano on the Statistical Learning track, after earning a degree in Computer Science. I am equally interested in understanding why machine learning models work and in making them run well on real hardware.
I am building an NPU and GPU inference engine that runs on AMD Ryzen AI processors. This site collects my notes as threads about what I study and build.
Latest posts
- Banach spaces, the Hölder inequality and the completeness of Real and Functional Analysis
- Differentiation of measures, the fundamental theorems of calculus and Sobolev spaces Real and Functional Analysis
- Exercises on limits of integrals and notions of convergence Real and Functional Analysis
- Notions of convergence of measurable functions Real and Functional Analysis
- Fatou's lemma, monotone and dominated convergence, and the spaces Real and Functional Analysis
- The strong Markov property Stochastic Dynamical Models
- The Lebesgue integral, vanishing lemmas and the Riemann integral Real and Functional Analysis
- The Vitali example, measurable functions and simple functions Real and Functional Analysis
- -algebras, measurable functions and independence Stochastic Dynamical Models
- Limit theorems and fast recurrence Stochastic Dynamical Models
Contacts
- Email clainstone@outlook.it
- X @cclainstone
- GitHub clainstone