Exploring Reinforcement Learning & Association Rule Learning for AI Applications | AI ML Course

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In this video, we dive into two powerful concepts in AI and data science: Reinforcement Learning and Association Rule Learning. Reinforcement Learning focuses on training agents to make decisions in dynamic environments through trial and error, rewarding positive outcomes. On the other hand, Association Rule Learning uncovers hidden patterns and relationships within data, widely used in market basket analysis and recommendation systems. We'll explore the core principles, differences, and real-world applications of both techniques. Whether you're new to AI or looking to deepen your understanding, this video will provide you with key insights into these fascinating areas of machine learning. Don’t forget to like and subscribe for more AI content!