Definition
Model training is the process of feeding data into an artificial intelligence algorithm to teach it how to perform a specific task. This involves presenting the algorithm with numerous examples, allowing it to identify patterns, relationships, and features within the data. Through iterative adjustments, the model learns to make accurate predictions or decisions based on new, unseen information. This is crucial for developing AI systems that can reliably automate complex processes or provide insightful analysis in real world applications. For instance, a model trained on thousands of images can learn to distinguish between cats and dogs. It is important not to confuse model training with model deployment, which is the stage where a trained model is put into production. Understanding model training is essential for several AI and data science certifications, including those focused on machine learning and cloud AI services.