Data science and AI

Modern AI systems rely on data, mathematics, and structured computation. These topics introduce the tools used to analyze data, process text, train models, and measure similarity. They form the technical core behind intelligent software.

• Numerical computing — Arrays, vectors, and efficient numeric operations.
• Data analysis — Inspecting and transforming structured datasets.
• Text processing — Cleaning and extracting structure from text.
• Machine learning — Training and using predictive models.
• Embeddings and similarity — Vector representations and similarity-based retrieval.