The Apriori Algorithm is a popular machine learning technique used for mining frequent itemsets in large transactional datasets. By iteratively identifying common item combinations that appear frequently, it helps discover interesting association rules and relationships within the data, which can be used for market basket analysis, recommendation systems, and decision-making processes.