Some academic stuff that displays my background and might be helpful for others.

These are materials of some courses completed at MIPT.

**Note.** A portion of these is due to the contributions of my several coursemates.

- Metaprogramming
- Machine Learning (basic)
- Machine Learning (advanced)
- Python
- Databases
- Data Structures and Algorithms
- Java
- Formal Languages
- Computer Graphics
- Parallel Computation and Distributed Systems

- Functional Analysis
- Algebraic Topology
- Algebraic Topology (extra chapters)
- Cryptography
- Game Theory
- Methods of Optimization
- Stochastic Processes
- Practicum of Mathematical Statistics
- Differential Equations
- Harmonic Analysis
- Multiple Integrals and Field theory
- Discrete Analysis

- d2l.ai is a very good book to dive into deep learning.
- DL Bible 3. NLP is another comprehensive deep learning book, on NLP.
- The Flask mega-tutorial is a good guide to write and deploy Flask website.
- Conversations about C is the starter's guide on the language C (in Armenian).

- Wiki-notes on mathematics and computer science.
- Hamster's Hideout contains some materials of functional analysis and quantum physics.
- Lecture Tex Club has notes of some lectures at MIPT.