Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are three distinct yet interconnected concepts. AI, a broad term often used in marketing, encompasses systems that can solve problems based on a set of rules. ML, a subset of AI, enables computers to learn from massive amounts of data, extracting patterns and features. It involves two phases: training and inference. Training involves analyzing data to extract relevant features, while inference uses the trained models to predict results from new data. DL, a subset of ML, refers to neural networks with multiple layers. These networks mimic how neurons in the brain work and are used for complex tasks without human intervention.
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