📌 MACHINE LEARNING

Machine Learning Basic Concepts

Intro to Machine Leraning

ML Probability and Statistics

ML Information Theory

ML Optimization

ML Gaussian Mixture Model

📌 COMPUTER VISION

Foundations and Projective Geometry

Image Filtering and Transformations

Keypoints and Feature Detection

Geometric Modeling and Fitting

Core ML Concepts and Applications in Vision

Advanced Vision Concepts and Applications

Big Data and Data-Driven Methods

3D Point Processing and Deep Learning Techniques

Generative Models, Transformers, and Neural Radiance Fields (NeRF)

📌 ADVANCED DATABASE SYSTEM

Database Systems

CS BASICS