Lectures related to Social bookmarking

Covers PyTorch tensor data structure and training a CNN to classify images.

Covers control structures in Java, including logical operators, scope, branching, loops, and iterations.

Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

Explores object copying, encapsulation, and the importance of defensive copying in Java.

Covers nested classes in Java, focusing on modeling grids and cells for games.