Machine Learning

Designing, building, and evaluating models that learn patterns from data, from data prep to deployment.

Machine learning is the discipline of building models that learn patterns from data instead of following explicitly programmed rules. Grounded in statistics and linear algebra, it encompasses three learning paradigms: supervised, unsupervised, and reinforcement learning. You work across the full pipeline from data preparation to model deployment. Where general programming (programming) focuses on logic and structure, machine learning specializes in statistics-based modeling. It also differs from AI utilization (ai-utilization), which centers on using AI tools rather than building models.