Machine Learning | Vahan Arsenyan

Machine Learning II

Wed, 01 Feb 2023 00:00:00 +0000

Graduate-level Machine Learning II at Yerevan State University, delivered over two consecutive spring semesters. The course builds on a first ML course and covers:

Probabilistic modeling and Bayesian inference
Gaussian processes and Bayesian optimization
Modern deep learning (architectures, optimization, generalization)
Causal inference foundations
Research reading and project work

Alongside the lectures I supervised student research groups on applied probabilistic modeling and related topics.

Machine Learning Curriculum (ACA)

Wed, 01 Jun 2022 00:00:00 +0000

Designed and delivered the Machine Learning curriculum at the Armenian Code Academy (ACA) across two summer cohorts. Target audience: industry-bound practitioners with a software background. Topics:

Foundations of classical ML (linear models, trees, ensembles)
Feature engineering, model evaluation, and experiment design
Deep learning essentials (CNNs, RNNs, Transformers)
Capstone project track where students shipped end-to-end models

The program emphasizes reproducible, production-ready ML practice.