THE ROLE OF DATA PREPROCESSING IN AI : “ Garbage In, Garbage Out” (GIGO) refers to the idea that the quality of output from any system, including AI models, depends directly on the quality of the input data . WHAT IS GARBAGE IN, GARBAGE OUT ? “Garbage In, Garbage Out” (GIGO) refers to the idea that the quality of output from any system, including AI models, depends directly on the quality of the input data. It’s a principle that is particularly relevant in the context of artificial intelligence. Here’s how it applies to AI systems: QUALITY OF TRAINING DATA : The accuracy of an AI model is heavily dependent on the quality of its training data. For example, if a machine learning model is trained on images that are poorly labeled or unrepresentative of real-world scenarios, it will struggle to correctly identify or classify images when deployed. Therefore, high-quality training data must be accurate, comprehensive, and representative of the diverse conditions the model will en...
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