Oracle Cloud Infrastructure AI Foundations: Ensemble & Reinforcement Learning

Ensemble learning combines multiple weak learners into a powerful predictive model, making it a key supervised learning technique for classification and regression. Clustering represents the most significant application of unsupervised learning, while reinforcement learning has gained growing importance in recent years, expanding the scope of machine learning (ML) problem-solving.In this course, examine the core elements of ensemble learning, including base learners, training strategies, and model combination techniques. Next, learn about clustering and its underlying intuition, key algorithms, and evaluation metrics. Finally, explore reinforcement learning and other approaches, and apply policy search algorithms to solve dynamic decision-making problems.This course is part of a series that prepares learners for the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) certification.