Mathematical Foundations

Linear Algebra
Mathematical Analysis
Probability Theory

Advanced Machine Learning

Regularization
SVM
Ensemble Methods
Advanced Clustering
Dimensionality Reduction

Programming & Tools

Python
Python Libraries (NumPy, Pandas, Matplotlib, etc.)

Core Machine Learning

Linear Regression
Model Selection
Classification (kNN, Trees, etc.)
Unsupervised Learning

Algorithms & Models

Support Vector Machines (SVM)
Decision Trees
Ensemble Methods (Bagging, Random Forest, Boosting, Gradient Boosting)

Unsupervised Learning Deep Dive

k-Means, Spectral Clustering, Gaussian Mixture Models
DBSCAN, Kernel Density Estimation (KDE)
Dimensionality Reduction (PCA, LDA, MDS, t-SNE, NMF)

Neural Networks & LLMs

Introduction to Neural Networks
Large Language Models (LLMs)

Industry Applications

MLOps
Data Engineering for ML

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ամսական

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Course duration: 10 months

Who will be

teaching?

Machine Learning Researcher at YerevaNN

Vahan Huroyan

ML Engineer Magical Labs-ում

Hayk Aprikyan

David Ghazaryan

Join us to become

Machine Learning Engineer