Lecture Notes
Here you will find the following related material.
Physics
Courses, lectures, problem-solving sessions, and educational materials covering classical mechanics, electromagnetism, quantum mechanics, relativity, cosmology, and computational physics.
Mathematics
Content on calculus, differential equations, linear algebra, probability, statistics, algebra, geometry, inequalities, and analytic number theory.
Artificial Intelligence
Educational resources on machine learning, neural networks, transformers, natural language processing, computer vision, large language models, and applied AI.
Data Science
Materials on statistical modeling, predictive analytics, data visualization, business intelligence, experimentation, forecasting, and data-driven decision-making.
Programming
Tutorials and practical examples using Python, R, SQL, Julia, C++, PySpark, and scientific-computing tools for research, analytics, and software development.