This article introduces the relationship between Artificial Intelligence (AI) and Machine Learning (ML), illustrating how ML allows for the creation of models that learn from data rather than adhering to pre-defined rules. The process of training a spam detection model is discussed, detailing the JSON format for providing training data and the necessity of transforming text into numerical formats for processing. It highlights TensorFlow as a premier tool for model building and emphasizes the significance of pattern recognition in AI.
Artificial Intelligence focuses on developing systems that can perform tasks typically requiring human intelligence, while Machine Learning involves models that learn from data.
Machine Learning allows models to recognize patterns and make predictions, using examples to distinguish between spam and non-spam messages.
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