Delves into digitizing historical documents, standardizing document structure, and applying neural networks for text recognition and image segmentation.
Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.
