Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.
Explores critical analysis of modernism, post-modernism, and pre-modernism in architecture and philosophy, reflecting on the challenges and conflicts in preservation practices.
