Why you don't need big data to train ML
When somebody says artificial intelligence (AI), they most often mean machine learning (ML). To create an ML algorithm, most people think you need to collect a labeled dataset, and the dataset must be huge. This is all true if the goal is to describe the process in one sentence. However, if you understand the process a little better, then big data is not as necessary as it first seems.