This podcast explores the fascinating world of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It breaks down the differences and relationships between these interconnected fields, from AI’s broad scope of mimicking human intelligence to ML’s focus on improving task performance through experience, and DL’s use of multilayered neural networks to uncover complex patterns. The discussion also highlights the three main approaches within ML: supervised learning, where algorithms learn from labeled data; unsupervised learning, which finds hidden structures in unlabeled data; and reinforcement learning, which teaches algorithms through trial-and-error interactions with their environment. A clear and insightful guide to understanding the building blocks of modern AI technologies!

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